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r/deepmind
post
r/deepmind
2023-06-20
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r/middleeastnews
post
r/MiddleEastNews
2023-06-21
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r/middleeastnews
post
r/MiddleEastNews
2023-06-21
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Oh sure. When THEY get to have class consciousness without being shouted at as a communist….
r/middleeastnews
comment
r/MiddleEastNews
2023-06-21
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Thanks everyone for your patience while we waited out the blackout. We'll stay open until there is another call to action, etc. In the meantime, I've been pretty happy with what I've seen on lemmy-DOT-world ...
r/media_criticism
post
r/media_criticism
2023-06-22
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r/middleeastnews
post
r/MiddleEastNews
2023-06-22
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r/middleeastnews
post
r/MiddleEastNews
2023-06-22
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Dear mildlyinterested reader, We want to extend our heartfelt gratitude for your patience and unwavering support during the recent turbulence in our community. Our subreddit is a labour of love, and we've weathered this storm together. Recent events have been confusing for all of us, from the vote, sudden removal of moderators, to conflicting messages from Reddit. As your mod team, we feel it's essential to clarify the situation. On June 19, [the poll results favoured partially reopening with changes](https://redd.it/14dmkw1). However, before implementing these changes, Reddit took sweeping actions, removing all 27 moderator accounts without warning. This left us baffled and concerned. Here's a brief timeline of the events: 1. On June 19, the poll results favoured partially reopening with changes. We announced the vote results and planned changes to the sub, including marking it as NSFW due to the common posts of phallic objects (no explicit content allowed). [CLICK HERE TO VIEW THAT ANNOUNCEMENT WHICH HAS BEEN APPROVED AND LOCKED FOR POSTERITY](https://redd.it/14eox9x). 2. A tug-of-war between the u/ModeratorCodeOfConduct account and the remaining moderators ensued, with the post repeatedly being removed and reinstated. Each mod involved was immediately locked out of Reddit. Subreddit settings were also unilaterally changed by the admin account. 3. Eventually, all moderators were removed and suspended for 7 days, with the vote results deleted and the community set to “archived.” 4. A lot of public outrage ensued, with details posted on r/ModCoord about what happened. At that point, no other subreddit had been targeted yet, leaving the situation uniquely unclear. 5. Admin cited actions as an "error" and promised to work with us to solve the situation. For /r/mildlyinteresting posterity, this will henceforth be referred to as The Mistake™. 6. All our accounts were unsuspended and reinstated, but only with very limited permissions (modmail access only). For what it's worth, 'time moderated' for every moderator was reset (e.g. /u/RedSquaree moderated since 11 years ago, reset: currently showing moderated since "1 day ago"). 7. The awaited discussion never happened. Instead, the admins presented us with an ultimatum: reopen the subreddit and do not mark it as NSFW, or face potential removal again. The inconsistent and arbitrary application of Reddit's policies reveals a possible conflict of interest in maximizing ad revenue at the risk of user safety and community integrity. 8. Finally, our moderation permissions were restored after we "promised" to comply with their conditions, but we kept the subreddit restricted while we ponder our next steps.. Problems remain unresolved, and Reddit's approach to policies and communication have been troubling. We believe open communication and partnership between Reddit and its moderators are crucial for the platform's success. As a team, we remain dedicated to protesting Reddit's careless policy changes. Removing ourselves or vandalizing the subreddit won’t achieve our goals, but rather hinder our community. We're here to ensure r/mildlyinteresting isn't left unattended. We call for the establishment of clear, structured, and reliable communication channels between Reddit admins and moderation teams. Teams should be informed and consulted on decisions affecting their communities to maintain trust and integrity on the platform. We shared this request with the Admin who promised to work with us, so far they have ignored it. Us mods are still deciding how exactly to reopen, not that we have been given much choice. Sincerely, The r/mildlyinteresting mods
r/mildlyinteresting
post
r/mildlyinteresting
2023-06-23
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r/yemenicrisis
post
r/YemeniCrisis
2023-06-23
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“As inflation rose to near 40-year-high levels, many consumers have used credit to help manage their budgets, leading to record- or near-record high balances,”
r/financenews
comment
r/FinanceNews
2023-06-24
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I know I'm new here but I have the answer Please give me a chance I am in Bridgewater on Somerset. Not only is it a beautiful town it's full of low life arseholes . SO let's empty everyone in Bridgewater and put them in botes somewhere no loss if they drown , and fill Bridgewater with refugees. They would be greatfull and would make the town wonderful 👍🏼
r/refugees
comment
r/Refugees
2023-06-24
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I am totally new to tf, and I get the following error when trying to import tensorflow as tf" in a Jupyter Notebook. ModuleNotFoundError: No module named 'tensorflow' I have pip installed the 2.12 version copy-pasting the code suggested on tensorflow.org after I created an alternative environment I called 'keras' in Anaconda navigator. I have: Windows 10 Conda 23.5 Python 3.9.16 Everything looks fine in Anaconda navigator but it does not work when I try to import it. I know it's a common error, I don't seem to find the problem and I am clearly missing something. I tried opening up the Jupyter Notebook from the keras environment and from the base. I am clearly missing something. Any help would be appreciated.
r/tensorflow
post
r/tensorflow
2023-06-25
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Raiden? Are you alright? Raiden? RAIDEEEEEEEEEEEEN
r/mistral
comment
r/mistral
2023-06-25
Z0FBQUFBQm03SVg4cW5Hc2tUSmFwdUlCNktCd0JNYktNSmhjdDVibUpLa1VFQ005ZnppSi1GazMwQzJKam1ZV2lZVUpSQjNkWXlPMXh4MGE4Vl9Oem1wWFlrTG9nYTY5eFE9PQ==
Z0FBQUFBQm03SVhVQTFBT0lhQ2tVVEFOOVVKUF81eUN6ZExZOEU3X3ZPMVQ5Zy1Bek15NWo0WGJPTjd5LUtRQklXa1hSSlhLcTdvMk9ieGxsV25GXzdQSjNUcnNScm5SZHZEdFhIQnRtWFh3TUd0THducHBQcThnQVZ5SGdaZ2hWelN2WnY0VVBkUlA0N25lbHF5VGVWQVprXzZsazBIMjR0OFBaWmVTNUtueXFHZEpkM2hDYXFJPQ==
doktor she got a humungous ass
r/mistral
comment
r/mistral
2023-06-25
Z0FBQUFBQm03SVg4cFU3dFJWeVhJTHNvZVZzT1A1SjdHZmQyRFFINWVhWlRPMjJOejBIVWczVW5DZGdrQjRyalZNOW1BdE1qSV80REVDNVFQOFJoVmhoVXdVTG5wRGk0YUE9PQ==
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I had also three videos made by him. But i cant spam so... for now have fun with these.
r/mistral
post
r/mistral
2023-06-25
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I have a problem where I'm trying to create an AI model that would recognize different car models, currently I have 8 different car models each with about 160 images of cars in their data folders , but every time I try to run the code hist=model.fit(train,epochs=20,validation_data=val,callbacks=[tensorboard_callback]) I get a loss that is just exponentially rising into a minus Epoch 1/20 18/18 [==============================] - 16s 790ms/step - loss: -1795.6414 - accuracy: 0.1319 - val_loss: -8472.8076 - val_accuracy: 0.1625 Epoch 2/20 18/18 [==============================] - 14s 718ms/step - loss: -79825.2422 - accuracy: 0.1493 - val_loss: -311502.5625 - val_accuracy: 0.1250 Epoch 3/20 18/18 [==============================] - 14s 720ms/step - loss: -1431768.2500 - accuracy: 0.1337 - val_loss: -3777775.2500 - val_accuracy: 0.1375 Epoch 4/20 18/18 [==============================] - 14s 716ms/step - loss: -11493728.0000 - accuracy: 0.1354 - val_loss: -28981542.0000 - val_accuracy: 0.1312 Epoch 5/20 18/18 [==============================] - 14s 747ms/step - loss: -61516224.0000 - accuracy: 0.1372 - val_loss: -127766784.0000 - val_accuracy: 0.1250 Epoch 6/20 18/18 [==============================] - 14s 719ms/step - loss: -251817104.0000 - accuracy: 0.1302 - val_loss: -401455168.0000 - val_accuracy: 0.1813 Epoch 7/20 18/18 [==============================] - 14s 755ms/step - loss: -731479360.0000 - accuracy: 0.1476 - val_loss: -1354252672.0000 - val_accuracy: 0.1375 Epoch 8/20 18/18 [==============================] - 14s 753ms/step - loss: -2031392128.0000 - accuracy: 0.1354 - val_loss: -3004264448.0000 - val_accuracy: 0.1625 Epoch 9/20 18/18 [==============================] - 14s 711ms/step - loss: -4619375104.0000 - accuracy: 0.1302 - val_loss: -7603259904.0000 - val_accuracy: 0.1125 Epoch 10/20 2/18 [==>...........................] - ETA: 10s - loss: -7608679424.0000 - accuracy: 0.1094 This is the loss function that I am using model.compile(optimizer='adam', loss=tf.keras.losses.BinaryCrossentropy(), metrics=['accuracy']) this is my model model.add(Conv2D(16,(3,3),1,activation='relu',input_shape=(256,256,3))) model.add(MaxPooling2D()) model.add(Conv2D(32,(3,3),1,activation='relu')) model.add(MaxPooling2D()) model.add(Conv2D(16,(3,3),1,activation='relu')) model.add(MaxPooling2D()) model.add(Flatten()) model.add(Dense(256,activation='relu')) model.add(Dense(1,activation='sigmoid')) I've normalized the data by doing data=data.map(lambda x,y: (x/255, y)) so the values are from 0 to 1 I've read something online about GPU's so I'm not sure if it's that , I can't find a fix , but I'm using this to speed it up ​ gpus =tf.config.experimental.list_physical_devices('GPU') for gpu in gpus: tf.config.experimental.set_memory_growth(gpu,True) Any help is welcome! I'm trying to train a model and get the loss closer to a zero, and accuracy closer to 1, but it's just exponentially driving into minus infinity.
r/tensorflow
post
r/tensorflow
2023-06-25
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r/deepstate
post
r/deepstate
2023-06-26
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Hello I am trying to run a python file on my schools GPU cluster server. This server has many GPUs and CPUs to use and I am trying to run a machine learning application. For some reason even when I request the GPU and it gets allocated my code cannot find the GPU. I run my code with a .sh file with the following code in it : \#! /bin/bash -l \#$ -cwd \#SBATCH -p Quick -w GPU3 \#SBATCH -p Contributors \#SBATCH --gpus=1 srun python [myfile.py](https://myfile.py/) and I have attached the output. https://preview.redd.it/leo9hlysra8b1.png?width=1330&format=png&auto=webp&s=9aa44d26739775251b0d355b5f684f5d6110eb6f
r/tensorflow
post
r/tensorflow
2023-06-26
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Z0FBQUFBQm03SVhVdGtHQl9zVnBNdjlrOUJHV3dTc2JxU01TeU1kSHFBQmdhMXRianpoWEVKUWEwTlh4bF8yWHhlUmRlZWhZdkpPTHBUb25ZU2dDQmprNmk1alVOOWU1ekhvZnRIVlFkUl80Z25uR1NZZ3lZa2hhLUFjQk1QZWU4ei14R2Z5QlpWSHp4dGJlTjJkZWJfZlYtVDdmUTFJVE5NTGpjMUZuN3BfSFowUWR3MWxOeFlmX09TSXVUQWtZT1ZkX0QwM09LV2ky
Hello FN! After 7 years of dedicated work, we're thrilled to unveil Factiverse AI Editor - a revolutionary tool to validate or debunk factual claims in any text, including AI-generated content. To counter fake news and misinformation, we need faster and a more reliable overview of the sources out there, and not only based on SEO or commercial elements.. Hope you guys want to check it out! Here's how it works: Our cutting-edge machine learning models analyse your text and identify check-worthy claims. We then scour search engines like Google, Bing, and Wikipedia, alongside manual fact-checks, to retrieve supporting and disputing evidence. The credibility of each source is carefully assessed using another machine learning model trained on expert fact-checks. Try out the Factiverse AI Editor at [https://editor.factiverse.ai/](https://editor.factiverse.ai/). To get started, check out our tutorial video at [https://youtu.be/rMBHHfn6mk0](https://youtu.be/rMBHHfn6mk0) and hear a special message from the founders at [https://youtu.be/Ri5rR\_clpxg](https://youtu.be/Ri5rR_clpxg). Join us in revolutionising fact-checking with AI! Very curious to hear your feedback and thoughts - what should we develop next? PS. You can use **FACTPH** to get one month for free (after 14-weeks free trial).
r/fakenews
post
r/fakenews
2023-06-26
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Z0FBQUFBQm03SVhVal9qcU9NQ0s2dV91cnFsanlQUF9zcTc2WjVUMm40Rzh0enNrdWpBbS1BV01NNHFLNlE2S3I1N0QtWjhHNklGeHpFSVo4OEZwQkd6ZTJBdkNoQWxFUWw1YklTVFpxX2I2SkFmdHNhOUN6djFaQ21lRTczWkFzWU1VYUFUZnZacVdPSVJTVnYzTmRvcVcxaTZmTVFkbUZrR20yeWZGQ3hQaFhOZ0Z4dW9EWVlodGJZclYwRWhvamV1UGZQNFA2bUNjOWRSYkp0bkZLdGpMWGtXUnM0cERBdz09
r/fakenews
post
r/fakenews
2023-06-26
Z0FBQUFBQm03SVg4cGVjQ0hLTTNVSlhFN3FMMzdWWTBVR2hKZWw0QldHLWdSTVFXeDB3aXJaVVd4LS1GR1RkbVpscGlySk1yNW1OZXYxeWc1WXhPVlF0akFPZmtXNWcxS1E9PQ==
Z0FBQUFBQm03SVhVN0ltRXJCdEhZTHREQmlwdFRZMzF0aGx3RXRQbUQ2c2cza2ZQckNuX05rb0YxZWluRTAyNTFqN0ZQYjlVSjJBSGlVdF9hUWVjOVNqRzE5bFJPLUpSM21uUkJXdG5fdXFYbDNNWmgtZ0c0RXJ6Wm0xc3JuakdkcmFhQTgwT2d1eHdNMDdGSEdRbXh6MnI0LWxReXdxNWNGekdqX2NBSThoajBVdUN0bDZPME5lbDU5RUtxcTYyNmpCS2ZkeE5BU3FfSm54M3BDaDBTdExRaUg2cm55WURGdz09
We are currently conducting a beta test for our compute platform and we value external input. Our platform allows you to effortlessly run templates for tensorflow, pytorch, and more. Powered by Nvidia Rtx a4000s, it offers additional advantages such as on-premises persistent storage. If you're interested in participating, please feel free to message!
r/tensorflow
post
r/tensorflow
2023-06-26
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Z0FBQUFBQm03SVhVZ1Utc1dHOVNMb1JoazJKQWdOVjRSWm0zeGtwcTdtWE1sV0dtX0pLc2g2eEFaZVZ5bUs5bkh4NER5Tnp2MzA4NFhFeS1jNjZENGI4Szg5VThNQlkyVTdNaF9IaG91R3Byb3cybmd0OEJIUkQ0QkFGV3V4RGV3SzZZRDRFZGk3QVhNeUdCc1lUWGd2Qkt6LXhValZBMXFheGZSMmJlQzZuSWd2ems3OEliU3hpV2FpZTQzZFlRMkFYSk9lQm5lNkdW
To All Whom It May Concern: For fifteen years, /r/Funny has been one of Reddit’s most-popular communities. That time hasn’t been without its difficulties, but for the most part, we’ve all gotten along (with each other and with administrators). Members of our team fondly remember Moderator Roadshows, visits to Reddit’s headquarters, Reddit Secret Santa, April Fools’ Day events, regional meetups, and many more uplifting moments. We’ve watched this platform grow by leaps and bounds, and although we haven’t been completely happy about every change that we’ve witnessed, we’ve always done our best to work with Reddit at finding ways to adapt, compromise, and move forward. This process has occasionally been preceded by some exceptionally public debate, however. On June 12th, 2023, /r/Funny joined thousands of other subreddits in protesting the planned changes to Reddit’s API; changes which – despite being immediately evident to only a minority of Redditors – threatened to worsen the site for everyone. By June 16th, 2023, that demonstration had evolved to represent a wider (and growing) array of concerns, many of which arose in response to [Reddit’s statements to journalists](https://www.washingtonpost.com/technology/2023/06/16/reddit-ceo-blackout-moderators-steve-huffman/). Today (June 26th, 2023), we are hopeful that users and administrators alike can make a return to the productive dialogue that has served us in the past. We acknowledge that Reddit has placed itself in a situation that makes adjusting its current API roadmap impossible. However, we have the following requests: - Commit to exploring ways by which third-party applications can make an affordable return. - Commit to providing moderation tools and [accessibility options](https://www.reddit.com/r/Blind/comments/14ds81l/rblinds_meetings_with_reddit_and_the_current/) (on Old Reddit, New Reddit, and mobile platforms) which match or exceed the functionality and utility of third-party applications. - Commit to prioritizing a significant reduction in spam, misinformation, bigotry, and illegal content on Reddit. - Guarantee that any future developments which may impact moderators, contributors, or stakeholders will be announced no less than one fiscal quarter before they are scheduled to go into effect. - Work together with longstanding moderators to establish a reasonable roadmap and deadline for accomplishing all of the above. - Affirm that efforts meant to keep Reddit accountable to its commitments and deadlines will hereafter not be met with insults, threats, removals, or hostility. - Publicly affirm all of the above by way of updating Reddit’s User Agreement and Reddit’s Moderator Code of Conduct to include reasonable expectations and requirements for administrators’ behavior. - Implement and fill a senior-level role (with decision-making and policy-shaping power) of "Moderator Advocate" at Reddit, with a required qualification for the position being robust experience as a volunteer Reddit moderator. Reddit is unique amongst social-media sites in that its lifeblood – its multitude of moderators and contributors – consists entirely of volunteers. We populate and curate the platform’s many communities, thereby providing a welcoming and engaging environment for all of its visitors. We receive little in the way of thanks for these efforts, but we frequently endure abuse, threats, attacks, and exposure to truly reprehensible media. Historically, we have trusted that Reddit’s administrators have the best interests of the platform and its users (be they moderators, contributors, participants, or lurkers) at heart; that while Reddit may be a for-profit company, it nonetheless recognizes and appreciates the value that Redditors provide. That trust has been all but entirely eroded… but we hope that together, we can begin to rebuild it. In simplest terms, Reddit, we implore you: **Remember the human**. We look forward to your response by Thursday, June 29th, 2023. There’s also just [one other thing](https://i.imgur.com/xLmTxcR.jpg).
r/funny
post
r/funny
2023-06-26
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Z0FBQUFBQm03SVhVUUx3b1hWbnViRG10NDNZb2ZVS0NGM00yREw1TGp6MEt3ODVBZzY1TFJ0ZnI4ZGlWZXhtVnlSTlNjaFFXenExLW1rdkMwSUJldS1hcXRUbVRvd1NPMkZWQkM0SU9OekxNVXBIRUtjSk9qT0J3YzA0WFV6WWV3eFEyWTZhaXJrdzhjbUo4cVZOUjB4MDRhZEVxeGFfcmlxUksyZkVWRkM4SEs2QlVGRUJFcHdfcTJNc0RKY0ZMYUh1US1lU0E3REhu
Hi i have a amd 5500xt msi 8gb. i want to use it in machine learning assignment which involves tensorflow and keras ocr how can i do that??? tensor flow isnt picking up my gpu and uses my cpu instead.
r/tensorflow
post
r/tensorflow
2023-06-26
Z0FBQUFBQm03SVg4NXZ0UkFGdllWQ01YSmdzLXByeVczTi1kMms1a0MzRkRwU0FOVEZPeWZ3WUxScElOTlNhb3pZTlNmOU5MbHZ2dllEd1BrQnJoSk5PMHVBbWl0NTJiM0x6ZzhibThsSk5mTFp3Y2FEME1sSHM9
Z0FBQUFBQm03SVhVUFpUSnA1YmdpRXJVUWFOQVdVSlNoa2RSZElZRk00VFdsSjZSQjRDNXN4andoRkZQWElacTVLXzZzOU1FWkdhc2hjNlBRTXRGcVdGM3Q4UmhHNndYOFp0MFBXX3RWenQtVzQ3SXJIQ2pwTlhBU2NtQURMSVo4Wm9KNTJ6aloyVzlqaWh1QkJ0dkNscThsRTh2eHFMVjM2NnZJSk03TU9td0pTcUtSRzBxR0NvPQ==
VST and NEE. Saved you a click
r/financenews
comment
r/FinanceNews
2023-06-26
Z0FBQUFBQm03SVg4dGJFVDFmcXBCdklqWlp5UlZhS0huZkhqaVZQZXJGY2JPLTBaY09BaWJRRVk3cFJyREo4QmpJZFItRHJOQ3R4SW1vVDFzX2ltWW5aR1JDcmpfTHZSV0E9PQ==
Z0FBQUFBQm03SVhVYmNtWWpDaHR2NHFFNW8yNHY0LV9IQjNxWC1aZ3dMUENWTGlKcEp6Y0tpMnNEX3JMWWVaNVB5VGIzUGx2ZWxIZVJueHMwUmdDN1RtbzZIWGMtZC1HV3Uyd3l1MHhlVV9JVXppdTR6VU4zaW5Da2ZaT3UyZFJvb3ZMUE11b0w0TkgtRTdMLWFaQnV3akxZcW56NC1PZ1FkNHplRFFlOHVBS1I2bmc2NDVpckcxbUZmeGFhOEcxMmVOdVdaeUwwSmtMWngzeDZiZFAzZnYxNWV3SlloTFZWZz09
"Russiagate" is QAnon for Democrats. lol.
r/trollfare
comment
r/trollfare
2023-06-27
Z0FBQUFBQm03SVg4NUIzVWt2aHI1bXNxbWY5S215VjUyM1pqajVzbE1BRm5Uald0TllQenRTZGU2cGpLeTViWVdhSXRraEMwTjd1dzBUZzdqN05HWFFjRkx5ZVZ0NHVzTmc9PQ==
Z0FBQUFBQm03SVhVV3lIaU1Pem1GWjZRWHlNMVBxck5hTW5STS1VdTRCRFJDUXRaR1NPcHJ1S0NpbXFVbXBsaV9zMnM1dVJOSXg1dUVxcE9RNXF2NjlfVGNsN1N2dDV2WEpPVEozWW5pdFgwX08zcXB4QU1mUDQ4T0dXcktORGh5M1BBSkQzMFRIeXIyY055MjhQZV82OVdsVGFUajlNbFRUdUxIRGFFdTRXc2FXTExpRTNldHROZk1NZndsbThxaXdxZkxwNXl5V1piM0c1dlhtWll3S3RjeVZENy1YdFJOZz09
Oil futures rose. Gold prices were down
r/financenews
comment
r/FinanceNews
2023-06-27
Z0FBQUFBQm03SVg4X25hNDA1T0hIaFR2T2N0OW51c2xJS0M0Wkp4VkNaNmY4RnJzM0hwckkxb3dqVnpRc0xLcWVQTmpBWHVyNEhVOTgtUlpsUHQ5Z0tOaEJXZXIzWUt5NFJZbllrRUVhV1lyekFuUXlkTXVSTXc9
Z0FBQUFBQm03SVhVUzhGMHJBX2w4NUxhOVlxVnl4aFo2VzFLMlZTbU5KcnBYZy1ObnYwN0JFdWFwdmRPYUdIbUh2STNnS3NDQVhyMFY0djYwVTNtNmF3cDZucTNXb2w2X0VETHpiYnd0bVo4Y1g1THVPYlc3ZHFGZlhaOXhEVl9BUXRVMGRLcDdPTGJ6Z0ZzVjEzdnY4TXA2UzJLMXNfcmw5ZGprbUplUmxyQU5nYU9sTkNYMXVxd3RZelRQWmtSay1xekd6V2g1QjM3RUpUMVp1eXhsa3NGX054bjVJQ2JPUT09
You seem like one of those pathetic critters who measure their entire value in terms of "reddit karma", lol. Go through my posts and my comments. Plenty of intro material there for the benefit of you newbies. DM me if you have questions that I can help you with.
r/trollfare
comment
r/trollfare
2023-06-27
Z0FBQUFBQm03SVg4enhtX3BhdzJLeUZxRkVLRkFnZ2hCSmt3S0E1SDRsUGM0SXc0Mk1qVk9TMG9JM0tSczZ3NDd5MV9qTFIzdlRZZDVXeTlybEVZWTBldHVVUWU3TTYzNVE9PQ==
Z0FBQUFBQm03SVhVWEYzemVvc2w5Qkx5ZjVDdDNQWWFER3RKZzI4X2k3SkpEMnZFU2hiUi1rc0dKNV94VDY2UkVmVkpJMUZocXB2SkUtQzFlV1ZnNF9TRkVCYkhtSjdCTXNtSkFJR0wxSzA4TldkajlkMFhIeVlyTHM1Y1hXcDdGZG44VnJZbEo1c0NKOTBJTEhOSHk2OFZQQjk1cW1FOGt5T0VKbEZfZVV0cHdmYm9jbTRQNHRiUXZteWk4VDZHRFU2SU9yT1JOSlU1RlREZk9hUUV3WkxyTmVFV21waEp3UT09
Good gods, you aren't kidding. I was expecting maybe half in the negative, but it's like 8/10 (≧∀≦)
r/trollfare
comment
r/trollfare
2023-06-27
Z0FBQUFBQm03SVg4WFdZNkQtTEVocGo0WjVzTFdNZlBMU2lIWHdaNHo4TmJaM3B3N29LMmtKVHUyLTRuY2gyOWZkOC03YXF4VzhHbW9kNTN2bk91MjZ2N2NDUFF0bElKYllvRW1VeTBmWXJoT3dreGZfUzRQNjA9
Z0FBQUFBQm03SVhVdzhHWGVVUE9zZWctY0lsNjVpV0VMTFk0Q3Fjc3NrZzhGRGU0ZF81Q0phSlBMbFBSV1lpYUs2cTd0Nm5nRVhuTUlISnJ4TllzUVk1Yi1aMFhuY1U1cVNBU1kyZlJSYm5BbzdlbTF6emlVWjFDeVNycGRKV0JxZ0tLY3Z4M3l5ZndIWWVjYllvUDNvRlpuN1B3N0dsbFNjTWdINXhEc1BsTElETmQwbHBsREVSXzlqN2xKODdualFraVA2UHBodWNRMXljYTFEWjEtR1BUSVJ0RjloakNJQT09
I have a question - are you aware of the Dunning-Kruger effect?
r/trollfare
comment
r/trollfare
2023-06-27
Z0FBQUFBQm03SVg4QlVIaTI5NUFMMzExcFFacjYtbVo4dl9XdEM2QUZOMjlkZ0lZeTQ2U1dmZV9wRmhucVJfOUV6OG5uRzFPQ2V3SUlDNlNKZXluNzJtQWxaZDZYSWRMR1E9PQ==
Z0FBQUFBQm03SVhVNzB2ZGFuVHMxZ3hTOVgxcnZUekc3WFQwYmlBZFJ1dE04dGxrb3d3aHI1b1pLSk9qRlZISHFmdDZVNHlWREhWMmV2WHdjUmFTUXJBdkhNTXU5ZmtRdVpVNFUzQXFQOC02MjdmZWJkTTdzTkNIcmduNkRzWEpQYWc4anBJNFA1VGs1Smd5ODlJUE9mT2ZmWEtpV3U5cE1yVFJvcmVtOU9vQ2pGVTNCMXZOQ2V1LVNZRXI4aUo1bTA1Z1A0M3ZsQmlYdFpvUjQtMTBxZG93Z3pObHNHSGhQdz09
Hello! I am new with using TF and just set up everything. I use one of the universal-sentence-encoder and have a bunch of different texts (\~2000) as input. The model then creates the specific embeddings.Now my plan is to calculate the three metrics of the model and visualize it then for this specific amount of input data. my_model = hub.load("path-to-universal-sentence-encoder") my_texts = [...] my_embeddings = [my_model(text) for text in my_texts] As I have the embeddings for each of my texts, what would be the next proper steps for determining and visualizing these metrics? Thank you for any specific suggestions and for sharing your experience!
r/tensorflow
post
r/tensorflow
2023-06-27
Z0FBQUFBQm03SVg4T2xFeWI3Q3ZQZnVNWmpmZ1E1SVVNLWdNREZqclFkdTRmTF9zYVNJak5PQ2NNbk1IajltejkxSlNJUmNvTURIb0xnZUJLeWdGOGV1XzFPRkRiUzEwNnc9PQ==
Z0FBQUFBQm03SVhVN2oydlBHOXlvcHJNLXRUWFp6cHlOTG41QjBQVV9zbVM4YU9sMW96cjF4aXlfNTdocWg1Z2dFVWN5ZF9URU5rZFZfbnQ3Y2RrVmZQbzV2d1BFWVhkOXBSemRZeDhjS3N5bHZlQ2FIYkNoOV9YWmFEOE9JREZuZk5neVllejAtNmpWMndZMmJCTElQRWZxQjh4UHBmYnZtU0I4VlQwTDZKbGpPOHEtRXdWc2pxNDdCaUZFTGZzOURjWjNpM3B4emdJZlprZkc1ckZuSzlma2czNXhWZ2Y2Zz09
r/trollfare
post
r/trollfare
2023-06-27
Z0FBQUFBQm03SVg4eDYwMmZPQlZZZFRhX3hCUGFGNE5vWjNybFFmZmdhX0NWNzVEczZ5bld4TFEzZENIUTUzb3ZxZnVlNHlVQUV6UlJscjNKZ2w3X21FQ0lkZFUtSEhRQ2c9PQ==
Z0FBQUFBQm03SVhVemdFTGE2cVVNRmN5V0RfcktydUhKUmhmeHltTF9tT3JVRDF0YlBzdjBRbW5lWUpVeUo5cnFleW1KQWNSR0lCdURmb2pJR2JZMWpUalRsWmxxUmR4S1pzVVNjUV9yVXlzVWtBZXpzMlpEc09DdjVsRFJkNW5pMTF0S3p0VWNxYURLWDBVZ2RueXlZRXhPbS1qWVE5NjdOVDRwNXR3eVA3TUZYdGVKUmxjQkx4bW0tX1RSQ3Q3VlM5Z0RLb2RHdldPUXVZR2dDUVBfRWFSbEhFbXV2Z1p6UT09
So the suggestion, should anyone need a TL;DW, is to shamelessly and relentlessly bombard every online space you have access to with simple but effective propaganda, every day. If you get banned or muted, just make a new account and proceed the next day. This isn’t a new idea— for years I’ve seen leftists claiming that “If we just act like the Tea Party/Qanon, then we’ll be as successful at capturing the Democratic Party as the Tea Party/Qanon has been in capturing the Republican Party.” That’s not going to work. There is an asymmetry in the audiences you are trying to attract. [Conservatives tend to focus on the negative, they have a stronger physiological response to threats, they fear new experiences and are psychologically reactive to fear.](https://www.psychologytoday.com/us/blog/mind-in-the-machine/201612/fear-and-anxiety-drive-conservatives-political-attitudes?amp) And it is all too easy to make up a bunch of bullshit that plays on those psychological tendencies and manipulates those base emotions. Liberals on the other hand are simply not motivated by fear and anxiety in the same way, and you can’t use to same tactics to rile them so much that have them eating out of the palm of your hand. All you have to do is consider the partisan divide on things like *critical thinking, facts & evidence, and logic & reason.* I agree completely about the importance of organization and making a concerted effort that amounts to more than yakking about your politics inside your own echo chambers, as well as the need for simple, easy to digest messages that can be clearly communicated… but it’s going to take more than inventing some compelling propaganda and blasting it all over the internet.
r/trollfare
comment
r/trollfare
2023-06-27
Z0FBQUFBQm03SVg4ajNRc0JlODdqbHl1YVFWaTdtLXJJM1EwRWhPVlJVTU93NHFVdjVsdkZkWTd2OHRZMzVvQmNXOFhaeUZ4TVZEX0VqY25EaDA1bXRoeVBqWTZrMUZKTlBNZ3hNRWkzbjA4UTZYbXFrNW5SenM9
Z0FBQUFBQm03SVhVRmxZdzRjVDRncnJ3M3llQlNlX2NrNDA1RlRLTHhNT2lqZ0tiSG91d0FRRW9PcHQ5eEpfOWhMQXg1OUt4Q3VPZUR4ZDQydnNPUDd4bFpQSENQbFcwY2FRejFSejA0V3J0YzZDRkdnSWk0dUQ4VVlaTHJIWm82NlpnNG14bE1JdExhZndOd08wRGNVR2dEV3pfRmE1UGdlcFUzY1hPSFM5V2F0a3E4MEhBeVJZaVU4bDQ4dFhHRkx0T05TN2Z0YU1lN2dsanlZX3NMS3FaNUZ3VzNDWXRJQT09
I am building a XO (tic tac toe) AI to grasp the basics of tensorflow keras on python. So far I have made the xo environment, and created the model like this: model = tf.keras.models.Sequential() model.add(tf.keras.layers.Dense(9, activation="relu")) model.add(tf.keras.layers.Dense(50, activation="relu")) model.add(tf.keras.layers.Dense(9)) model.compile(optimizer="adam", loss="mse") I have this (incomplete) function def ai_move(board): pass that makes a move based on this board input: board = [0, 0, 0, 0, 0, 0, 0, 0, 0] The question is: How do I train this AI by having 2 instances(?) of it play against each other? What's a smart way to set the rewards?
r/tensorflow
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r/tensorflow
2023-06-28
Z0FBQUFBQm03SVg4SThWb2RkZXlTajBhMXN6Y19WSzJzUTJvZEg4V2JKLWR2MDZlMG9hN3F4X2UwbURQR3pwamliZXFSUnl5OERhVG9PaXFLbWxOZW4wNTBiZmZzQlRRdlE9PQ==
Z0FBQUFBQm03SVhVSnYzM3BZMERpLTJTbkd3OWszRDJLaHdpaU1iVFlrcmJ1X0F4bF9peW50aC1vaGFMOFozZTEyTk13elZxSnVuVldiLTUxSXFnczMyZ0wtZ1pqU1JCc3NuQUpXWG1DQ3Q4dTJVb243b29NOFpTWlN4ejAxcjJ5WDlEWmVPbjgxa3g0TW1VOXhqOHQ5WURhOGxKbEd2b29fcXdzX3RDS0plQUtLYlpBaHVzOVhNT0d1UXUxTldUUnN6TmhHUFBDZEt2
You missed the single biggest tool... ..... taking people to court and winning.
r/trollfare
comment
r/trollfare
2023-06-28
Z0FBQUFBQm03SVg4MlNNazM1a2xFV3N4MXExRnVNY2dERldvZVFNaE9XRGg2OW51ZVAwVUU1bU8xOHJnU214TWUzRzNGOWZiRnkybkJxaW9ZQ2J0Wnl4aW5EbWVNcnoyeVE9PQ==
Z0FBQUFBQm03SVhVX2JwWTlMZVVCOVhQdFkzczdfUWNKc2pNbVRFd0pyMXFOQktKMTZPdm51RnVmTmdiWFVXOFhOQ1lSMVAtWVZHXzVBeGVpMjVzaGZIaTBvWnlrR3ZfRlhRZEtNNHYzanZPVlZDRW9jeWcwMXloSVZjQVprV2d5ZzZlT1RaNm9tcGk5QTYtc0VmLV9RUHplZFExWkZaM2c1NU1kVkFUM2ItVkw3TmdRMHdfNHZrOGFOdHduSzk5S0laUkVPbWlMVElrSG81aWo1bFVQQUZmM1F6N0c4WHlldz09
r/deepmind
post
r/deepmind
2023-06-28
Z0FBQUFBQm03SVg4SEFNVlVIV1dfb183VHZpdXdfbExZOXk2ZGQyYTB0Z2hJdGh3dzV5NzV6bUNQb3lmemo5LTZ4X2dBV3lscXVqX3RHMnRkQ1FfVHZFNFV0aFFEV1dJckE4bV80RlJPNGx0YTdCNlh4QXZQRnc9
Z0FBQUFBQm03SVhVd2tPM0RsOGctS3NpeWYwelVTQTZJSkwzeDgtelFNLTBIc1Jnd0pJN010dXlvOVNXVHBpNENFZXFxSGJLSHBPTEUzdno3aVBhal9KSVdkUmg2ekRwRmJEaV9BSzQwWTE4Nkkzdlg3aFpXaklvWFM4Y191bUJFRlZBSnZmNzlvQzF4WUd1ampLV2ZxLWZZdVJNSjg2RVBqUVV0UHpJUXZOMWh5cTBGMXpWRGJoSEtSMU9scEE0Sko4WkszdFVXRG4z
Whenever I try to import tensor flow or spacy I get this error that I have tried everything to solve. &#x200B; For context these are my current versions when I check pkg\_resources.get\_distribution(package).version : Python version: 3.9.12, pandas: 1.4.2, numpy: 1.21.6, spacy: 3.5.4, tensorflow: 2.12.0, conda: 23.1.0, pip: 23.1.2 &#x200B; I have tried the following: !pip install numpy==1.21.6 &#x200B; conda install -c conda-forge spacy pip install -U spacy python -m spacy [validate](https://spacy.io/api/cli#validate) &#x200B; python -m venv .env source .env/bin/activate pip install -U pip setuptools wheel pip install -U spacy &#x200B; This is the error: &#x200B; --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Input In [7], in <cell line: 4>() 2 import re 3 import nltk ----> 4 import spacy 6 from nltk.corpus import stopwords 7 from nltk.tokenize import word_tokenize File ~\anaconda3\lib\site-packages\spacy\__init__.py:6, in <module> 3 import sys 5 # set library-specific custom warning handling before doing anything else ----> 6 from .errors import setup_default_warnings 8 setup_default_warnings() # noqa: E402 10 # These are imported as part of the API File ~\anaconda3\lib\site-packages\spacy\errors.py:2, in <module> 1 import warnings ----> 2 from .compat import Literal 5 class ErrorsWithCodes(type): 6 def __getattribute__(self, code): File ~\anaconda3\lib\site-packages\spacy\compat.py:3, in <module> 1 """Helpers for Python and platform compatibility.""" 2 import sys ----> 3 from thinc.util import copy_array 5 try: 6 import cPickle as pickle File ~\anaconda3\lib\site-packages\thinc\__init__.py:5, in <module> 2 import numpy 4 from .about import __version__ ----> 5 from .config import registry 8 # fmt: off 9 __all__ = [ 10 "registry", 11 "__version__", 12 ] File ~\anaconda3\lib\site-packages\thinc\config.py:4, in <module> 2 import confection 3 from confection import Config, ConfigValidationError, Promise, VARIABLE_RE ----> 4 from .types import Decorator 7 class registry(confection.registry): 8 # fmt: off 9 optimizers: Decorator = catalogue.create("thinc", "optimizers", entry_points=True) File ~\anaconda3\lib\site-packages\thinc\types.py:8, in <module> 6 import numpy 7 import sys ----> 8 from .compat import has_cupy, cupy 10 if has_cupy: 11 get_array_module = cupy.get_array_module File ~\anaconda3\lib\site-packages\thinc\compat.py:54, in <module> 51 torch_version = Version("0.0.0") 53 try: # pragma: no cover ---> 54 import tensorflow.experimental.dlpack 55 import tensorflow 57 has_tensorflow = True File ~\anaconda3\lib\site-packages\tensorflow\__init__.py:37, in <module> 34 import sys as _sys 35 import typing as _typing ---> 37 from tensorflow.python.tools import module_util as _module_util 38 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader 40 # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. File ~\anaconda3\lib\site-packages\tensorflow\python\__init__.py:42, in <module> 37 from tensorflow.python.eager import context 39 # pylint: enable=wildcard-import 40 41 # Bring in subpackages. ---> 42 from tensorflow.python import data 43 from tensorflow.python import distribute 44 # from tensorflow.python import keras File ~\anaconda3\lib\site-packages\tensorflow\python\data\__init__.py:21, in <module> 15 """`tf.data.Dataset` API for input pipelines. 16 17 See [Importing Data](https://tensorflow.org/guide/data) for an overview. 18 """ 20 # pylint: disable=unused-import ---> 21 from tensorflow.python.data import experimental 22 from tensorflow.python.data.ops.dataset_ops import AUTOTUNE 23 from tensorflow.python.data.ops.dataset_ops import Dataset File ~\anaconda3\lib\site-packages\tensorflow\python\data\experimental\__init__.py:97, in <module> 15 """Experimental API for building input pipelines. 16 17 This module contains experimental `Dataset` sources and transformations that can (...) 93 @@UNKNOWN_CARDINALITY 94 """ 96 # pylint: disable=unused-import ---> 97 from tensorflow.python.data.experimental import service 98 from tensorflow.python.data.experimental.ops.batching import dense_to_ragged_batch 99 from tensorflow.python.data.experimental.ops.batching import dense_to_sparse_batch File ~\anaconda3\lib\site-packages\tensorflow\python\data\experimental\service\__init__.py:419, in <module> 1 # Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 15 """API for using the tf.data service. 16 17 This module contains: (...) 416 job of ParameterServerStrategy). 417 """ --> 419 from tensorflow.python.data.experimental.ops.data_service_ops import distribute 420 from tensorflow.python.data.experimental.ops.data_service_ops import from_dataset_id 421 from tensorflow.python.data.experimental.ops.data_service_ops import register_dataset File ~\anaconda3\lib\site-packages\tensorflow\python\data\experimental\ops\data_service_ops.py:22, in <module> 20 from tensorflow.core.protobuf import data_service_pb2 21 from tensorflow.python import tf2 ---> 22 from tensorflow.python.data.experimental.ops import compression_ops 23 from tensorflow.python.data.experimental.service import _pywrap_server_lib 24 from tensorflow.python.data.experimental.service import _pywrap_utils File ~\anaconda3\lib\site-packages\tensorflow\python\data\experimental\ops\compression_ops.py:16, in <module> 1 # Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 15 """Ops for compressing and uncompressing dataset elements.""" ---> 16 from tensorflow.python.data.util import structure 17 from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops 20 def compress(element): File ~\anaconda3\lib\site-packages\tensorflow\python\data\util\structure.py:22, in <module> 18 import itertools 20 import wrapt ---> 22 from tensorflow.python.data.util import nest 23 from tensorflow.python.framework import composite_tensor 24 from tensorflow.python.framework import ops File ~\anaconda3\lib\site-packages\tensorflow\python\data\util\nest.py:34, in <module> 1 # Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 13 # limitations under the License. 14 # ============================================================================== 16 """## Functions for working with arbitrarily nested sequences of elements. 17 18 NOTE(mrry): This fork of the `tensorflow.python.util.nest` module (...) 31 arrays. 32 """ ---> 34 from tensorflow.python.framework import sparse_tensor as _sparse_tensor 35 from tensorflow.python.util import _pywrap_utils 36 from tensorflow.python.util import nest File ~\anaconda3\lib\site-packages\tensorflow\python\framework\sparse_tensor.py:25, in <module> 23 from tensorflow.python import tf2 24 from tensorflow.python.framework import composite_tensor ---> 25 from tensorflow.python.framework import constant_op 26 from tensorflow.python.framework import dtypes 27 from tensorflow.python.framework import ops File ~\anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py:25, in <module> 23 from tensorflow.core.framework import types_pb2 24 from tensorflow.python.eager import context ---> 25 from tensorflow.python.eager import execute 26 from tensorflow.python.framework import dtypes 27 from tensorflow.python.framework import op_callbacks File ~\anaconda3\lib\site-packages\tensorflow\python\eager\execute.py:21, in <module> 19 from tensorflow.python import pywrap_tfe 20 from tensorflow.python.eager import core ---> 21 from tensorflow.python.framework import dtypes 22 from tensorflow.python.framework import ops 23 from tensorflow.python.framework import tensor_shape File ~\anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:37, in <module> 34 from tensorflow.core.function import trace_type 35 from tensorflow.tools.docs import doc_controls ---> 37 _np_bfloat16 = _pywrap_bfloat16.TF_bfloat16_type() 38 _np_float8_e4m3fn = _pywrap_float8.TF_float8_e4m3fn_type() 39 _np_float8_e5m2 = _pywrap_float8.TF_float8_e5m2_type() TypeError: Unable to convert function return value to a Python type! The signature was () -> handle
r/tensorflow
post
r/tensorflow
2023-06-28
Z0FBQUFBQm03SVg4QVE4WlZxblpIMjI2WnpzbnNlb1pLakxnVlVUT1lyQUFEUVRmVFRwTFpSU3RQRzJHSFRvRk9MWHNQNTJKeWVRbWRiRkktWnhkWFF5OVJ1M2VmNnNXVFE9PQ==
Z0FBQUFBQm03SVhVT2xfVWhKblN5RlF0enFoVHZfcDlzaU0zeUtKa3lNdXJ0a3hFMHhaeDh6b0hodHB2TWNaaEFSdVl2S2NNdVpXbXRWQ2xPSlNJR0dFSjcxM2ZKLUN5UVV2QzBVYXB6a3AzUjh1T1ZiQUdILTZkXzNURGMwMC0xdDdQVmxvamtXVVhDY3FkR0tKYmdsX1AtbkVxUWtaZ0sxY0RFMjdRNnFOa0QwVnNkVFAwTmQzQVdQNk1rdko0a2M2S0p6M1IwSktP
Hello everyone, probably a very noob question, I'm just started in this new magic worl of AI and ML. I've run every tutorial project I could find, i develop my own Dog or Cat model by transfering from MobileNet. I'm now struggling with the classification of documents. I have 50 companies that sends us invoices and I want to train a model in order to recognize which company sent us the invoice automatically. The document structure is basically the same (some minor differences in the structure of a table) the main difference lies in the logo of the company of course. The images are very large, so what I'm trying right now is this: (using Tensorflow.js if it metters) https://preview.redd.it/sx7ipq7zqt8b1.png?width=816&format=png&auto=webp&s=5e39fc3e252f4b46ce0b80cee1741d6623a6c27a This the network i thought it could work. I process every image in this way: https://preview.redd.it/2nbdif88rt8b1.png?width=681&format=png&auto=webp&s=7fe5ec1221f9227c5892cc2af99bd34df6938654 Then i try to train the model with this code: https://preview.redd.it/ysiakhynrt8b1.png?width=711&format=png&auto=webp&s=4212fcfbff972a5ab1a2c652b95970f10916a367 But at this point the log tells me that it will not reach 0.4 as accuracy. Can you point me in the right direction?
r/tensorflow
post
r/tensorflow
2023-06-28
Z0FBQUFBQm03SVg4NUwzZmszZ195M013SnYzaE5pX1ZIZThyY2E2NmlyWjRxd3BQc3BmUVROUDZURDUwdVV5UTA2azN5UzNGWDA5V09IM0N6MWdYVUdKUGhNNmNFTXBVdkE9PQ==
Z0FBQUFBQm03SVhVY1RZVHp1czNHbE5tVjZDX2tWWW5wOFVFbWJyTFJxclI3MFhDMUhQYWxrck9lV1B0RTIzNTdIaWZWNHVtTFdHWE9pWFdFNkFDM0M2V3dJelIxaW1XeFNMNk9CZEM1Z25XbU5oMTdBMVZYWHRaYjR2NFpXZWZHbU45VVpZUHJvRDhPWnRsZFFQNFBZUFBHMjFuc2JBVlA3RXl0UFpmeDhIVHkxTWJnZzhLd0tlWHlrSDRGYXJPcnI0YzRTNDBoLTZkNEhPdjZzWHUzVTlKN1hhQWFUVmhLdz09
I used to write my own models for this one project I'm doing but the results werent great so I want to switch to some premade model but I dont know how to train it on my own images.
r/tensorflow
post
r/tensorflow
2023-06-28
Z0FBQUFBQm03SVg4UXVvRVVDVm1pTGJKeS1OMWVmajVlc003bnpfRGdoQ3phdGFneFZsVEJxT3VSb1BZcUdhSGJFOEliRXFSRjVfNTViRHBIeUFYaHhsQWliMmdFNHlQTEhFSFZoR3BoTUVNX3B1bXZCQVVTOVE9
Z0FBQUFBQm03SVhVMVhHLVFLX0RNRWEwQXptMXU1TlFxbXVDNWRHb1hpMGVJSGZodVBVSFc0YXF5R1BNbE1HSHlsRWlFUGNyMHhZSVdWUklIMjQ1NFR1VHc3R3ZMX2VtU2dTS2tJOTQzTkZjX0NiWnpwMDJRZGwzZDA5SnlRTVNXejRjOC10bkp4ZnVHMFdzZ1NyUllOTGlLNDZFelRpTTJnUTEtVFRfZXlkTTFGVzFFamN1YnpyNTBBdzRsdzE3YWZnaHZSZDd4TXRXOFdtUFN0ejBYYTk5WnV0TkFfa1R1dz09
Hi
r/opensourceai
comment
r/OpenSourceAI
2023-06-28
Z0FBQUFBQm03SVg4eXZTczlaS3B4U3gzZncwbTBQdUdwUzF4d09SczNRRU9mUThYRU9oUWlLRDVBbWJlLVFCdVp1WTJSQXhQTzRWcWswTVhRYjlSNkU2dm9HODNzZzdsUmc9PQ==
Z0FBQUFBQm03SVhVM3BCYWZyalRyZndEMnlNWDNLaWpkX0Q4SWVMTnQ5MlYySktWVWJDVzNrbnJIQTBUdE1CN2RZdV9JeWlick1Ta1pKOU52YmtDd1BFTHd2TkIzNEMtYTU4c2VzTnNZWFBROEJqWVE4Wnh3SHBsQVVHdHZleXZ1M2F2UUhhN2xMOEZkQjRsejJSWUpkOTFCTVdrTVpTeHc1dnF5LWJUeU9YS2NfX1lKWGFQV2ttTDJLeU83ZUJKRHpTRW5WUVNmekV3Q2IyZ29SVFFlUU9xRUMySVJRSDhhR3V3T0thT184MW00ZUJmU3VOaTJ0cz0=
I'm currently trying to follow a tutorial on tensorflow as I am quite new to the library, but after installing tensorflow, I can't seem to import the tensorflow\_datasets library. [Imports](https://preview.redd.it/iqcsmqm6kv8b1.png?width=390&format=png&auto=webp&s=aad59c4b07bea3a88e17753afa487da0f9de8805) the error message reads as [error message \\"Import \\"tensorflow\_datasets\\" could not be resolved](https://preview.redd.it/4jbk9zp9kv8b1.png?width=851&format=png&auto=webp&s=12d74d92938bf656acaaf17dfbfcbd0c3ffaa71e) Am I missing something here?
r/tensorflow
post
r/tensorflow
2023-06-29
Z0FBQUFBQm03SVg4U3RRV3dGQ1I0QUVfNTNJS1VmbEM4VXBnYjRKU2ZFVkFFY0xMLWZwUHJwUkNUSnNIam1LM0tiY01fbGJvRzMyeFlCZGxaMzhmQ1Jqem01UmlmVGVhQ1E9PQ==
Z0FBQUFBQm03SVhVWVlPTU1CT0g3ZzU2cUl4dmV4SGJ1X1NnaEl1Wmc1cGlxUzNybmFvWm5BZURRUTJSRFhmZHRrX3drams4LTRYUWdfM25wejViblZVZGV5U3llSHYtRU5GNjJJbTd4M0RyUXRiak5EQ05lX3RXSGV3Wl9PeElDcHBRYTQzY0Y0MmVlVE5NZ2RaTkI4dTREYkZNVnlGVWlud2FNN3JtbEJ6eTdxMzY4bF9NcTJlZXFVV2hsSjVRcmQxVlF5UVVLQkNRcGhJNHh2V1JsNHpXUU9ibHozQmo1Zz09
I just got permanned from r/ActiveMeasures because I pointed out that Bernie Sanders had Tad Devine, a colleague of Paul Manafort, on his team, but, anyhow: Wesley Clark, John Edwards and Bernie Sanders all benefited from what, in retrospect, seemed as if they were campaigns organized by people who know the same kinds of strategies the QAnon people know. The solution for Progressives is to find the people who managed communications for John Edwards and get them to do some seminars explaining their strategy.
r/trollfare
comment
r/trollfare
2023-06-29
Z0FBQUFBQm03SVg4NG1VRmktbXNRdFBoX3NOLUpTVGRkX0R4ckw1NFZ2VnZfQmZyaDh1RVRYRjBnOXYtYm5SZkNuQjRIcGV2cnpER2ZXUU44LVhYRHNyUk5MWk5ZOENjYWc9PQ==
Z0FBQUFBQm03SVhVZXlDTlJRRy1TVHRTRnRaUHlwVHlRSExsZDh6cVRlT2FDLWF4WE1HdktXT0FDUXhLdGwwN1QydzdrZHZRb1JpSGhzNHo3S0NleFo4cEVaeWd1bVE5aUxtQVFKd0ZkOWE0NHZFaXZUb21XaGJhcTRjLU1INFFfSTh0SWJfMl9GYTFNY2NNbnJnVmN4ODRxbWdnVl9JUi1hbnhpYURucERWTzNVRTRzTGpmQzhQbm5RVFJnenBRZWxkSnFJU1Y4dnFRQ1VmVXotdWNsNXZGbDlkUEM5U2RRQT09
One of the worst effects of subtle Russian-style active measures trolling is that it hurts sincere people who have views similar to the views of the active measures people. My feeling is that most of the active measures that's in-your-face is there just to distract us from the subtle active measures stuff, which is usually made up of reasonably polite, well-written posts about topics other than [edit: *directly*] about politics. Then the stuff that is [directly] political, about how the Americans have problems, too, is so well-written and so reasonable that it's hard to have any serious objection to the posts themselves. The problem is with bots pretending to be something that they're not spamming that stuff all over the place to try to hurt Ukraine. Somehow, we need to figure out strategies for controlling insincere mass manipulation without hurting sincere dissenters.
r/trollfare
comment
r/trollfare
2023-06-29
Z0FBQUFBQm03SVg4WWo0QnJvSEdYZ3QxYTc1U3NNemg0R2YxVU5kbEltc3Rhbm1jTzgyMUlGSERVVGlJdTcxdGwxQU8zaUhrTzVsSk5uUFZMc3RyVmhOODdieFdRZVNHYkE9PQ==
Z0FBQUFBQm03SVhVYlNycDI0dG9QYmxDYm1CSDR1d3lKbmhXRmFIaUZhMEk1RTRTT1JJNUJ5dU9TS3h6M2UtWFdoaUo2UUdraVFPZ3VXeGw5NjN0Y3hVZnY1enhJZjNCWXVwbkt6WU1YWk4wRTBBU2ZWYUUwcFVZd3pueU1Fb05RZXRPcjhscENyZWc0S2Y2bmtURDVmVERSWGhieXZobGxkLU1qRjdsMnV4LTkzeUNfeHF3YTJLUjJzRlN4cm1aeFAxN0VKVHhhS3RDS2I2UGEwS2ZMTjR1V0w3OFBsU083QT09
US resorting to Tonya Harding style knee capping of competition
r/financenews
comment
r/FinanceNews
2023-06-29
Z0FBQUFBQm03SVg4Z2Q4RHMwTGpJeXRqN0xNa0ExQnNBa2FTcTBwbUtKX2stM2E0RHNVOXExdi1mZllsT2Fyd1RnSWlNTnY0NlJMT3ZoQ2lmTk5qRzhZbkNxWlBpV2xvdnc9PQ==
Z0FBQUFBQm03SVhVZ182dXRRUDM3VWNhY1lweEQ4V1hRZFZyQnZBVzFuc3RFRlk4VWJ6R3ZRcVBQeVZmV2o0S05ENGhVUy1EQkxVWXBaQ19qOGV0WWM3MXdrZmYxbkpMMTlQRjhlRWhjTkV6ZzdHWXQ2ZGRoS05sVi12a2d3Sl9jVUJUMlpIeHdpZ0dQYVFXY2FnVUFMNDNJaW1qSHN0TDlvc1o1eFBPM0JEZGhGandfeXVkZG41MnU0SEh0UTcxdFRzRkZCVUFCRGQwaEtMd3VWR0ZCRDAtLXFqQTNUQ3VCUT09
I’m new to AI, and I wanted to grasp the basics by making simple projects. I made a sequential model using Keras with python, had 4 layers: input layer 81, 2 hidden layers 128, output layer 81. I loaded the data (csv) using numpy on init, and it went through the whole 800k data set in less than 2 minutes. I thought this was too fast to have actually went through the whole dataset. Am I right to think this?
r/tensorflow
post
r/tensorflow
2023-06-29
Z0FBQUFBQm03SVg4M1FjZTRWN3JmaDh5VWZibU9Qc1F4UnFMRm9jTmZtOHVSVHdqQThGVm5MNllpMWdHaWsyOWNIdGxiSmIwUV9YbXU3VFJnQlIzYXBEcUhNa29WdWhRdXc9PQ==
Z0FBQUFBQm03SVhVSDJtMjU5WXFrV0diZ1FvZi1mM3lyUTBRLVJvOEtuMzQxVnp4c2hMaXZoanlIX1BYRjgxcUNETHZ5dUt0Wm44cnRjdGxLYU4waXd1ZURhXzA5SXRITW9Vdzg2eUdabk9iOURDZldvWHFzemZ4MXFSd1IwNTFoUmt6V0M4VTEtbkdBTFZSSTliTFRSeUNYWTBnRmREZ3Bqa3pCOXItVHBDX1dBOUk2a29QZGdnaE1oZXRIU3lSMWJSWlp6eWQ5bVNqMVI2WjFmX3dtMndfZTNKSW0tMDc4QT09
EDIT: The mods have noted that the feedback so far is almost exclusively from users who have little to no posting history in this subreddit. We would like to hear from some regular contributors, so if you're out there, please share your perspective below or by modmail. ---- Dear users, Over the past month, the moderator team of r/NeutralPolitics and our sister subreddit, r/NeutralNews, has done some soul searching about our future. As a discussion platform, Reddit has been in steady decline for years. With the shift to mobile and the [redesign,](https://www.reddit.com/r/redesign/comments/7zndq9/the_redesign_doesnt_value_discussion_subreddits/) content that favors quick engagement and upvotes, continued scrolling, and serving ads seems to be winning out over the kind of text-heavy comment sections we favor here. Reddit admins have frequently promised tools and administrator engagement to improve moderation for subs like ours, and although there has been some progress, delivery often falls short. Reddit's recent [announcement about API access price hikes](https://www.theverge.com/2023/5/31/23743993/reddit-apollo-client-api-cost) has [pushed most third party apps out of business,](https://www.androidcentral.com/apps-software/third-party-reddit-apps-shutting-down) which in turn has driven half our mod team off of Reddit. It's been years of feeling like we're swimming against the tide. Nevertheless, the mods believe that the kind of environment we try to foster here has value for certain subset of internet users who are looking for evidence-based discussion of political and current events, so rather than shutting down the project, we've decided to seek out a new platform. The trouble is, none of the Reddit alternatives we've looked at are quite ready for us yet. They're quickly maturing, but don't currently provide the tools necessary to moderate this kind of environment with the small team we're able to assemble. We're following the latest developments on those platforms and will transition when we feel it is appropriate. In the meantime, there's a question about what to do with these subreddits while we're waiting. r/NeutralPolitics and r/NeutralNews are currently "restricted," meaning no new submissions are allowed, which diminishes the prevalence of comments and practically eliminates our content from users' feeds. Part of the remaining team thinks we should reopen (allow new submissions again) and place a kind of protest banner at the top of the subs (and perhaps stickied to each post) explaining our status, future, and reasoning. Others on the team believe it's important for us to stick together with protesting subreddits, remaining restricted so that we can motivate Reddit to negotiate with the mod community over API pricing. Under that model, there's a suggestion that we could follow the lead of r/AskHistorians and have [mods post occasional content](https://www.reddit.com/r/AskHistorians/comments/14jfrwj/floating_feature_a_sky_built_before_us_the/) that keeps the subreddit alive, even while it remains blocked for user submissions. Most of the third party apps are already gone and the pricing changes are due to take effect on July 1st, which is only a couple days away, so now is the time for us to make a decision. We'd like to incorporate user feedback in that choice. Eventually, we'll be off Reddit, but in the meantime, what do you users think? Should we reopen or remain restricted? Thanks. — r/NeutralPolitics mod team
r/neutralpolitics
post
r/NeutralPolitics
2023-06-29
Z0FBQUFBQm03SVg4WkYtaTlfclBCeERDTVRNVDA2NlNuLVJJY3dLV1ZfYndXRy1HUEhINTJ2aEpqVVRnZFFjRk5UajFwV0syS3JacjI5TTJkMElCbnRjbGltenItOVZiQXc9PQ==
Z0FBQUFBQm03SVhVZEdLWXZfMW1fUUM5T3I1ZjlFOHoyQ1FfSGNIbVB3dFVhUHUzMDVUMjJIczhDWFpMOE9iaHVkOHh2T3dMZDJ6c2Y1Y1pRN250ODc5R3E2SllrclNKb1hHY016MXlKbjNOT1BIaXd2VVBib2xfdGZSVjVwVHB6OTBFanREMGpyWDdsaWwtZFRWRm1WS0FRNUx0VmZpQ1RDS3lxNjJrZ1pSV2pGaWFiaHU3R0JwdWhoNFNYLTdjeTV6b05weHYyZldGMEJmZGpxVlBaMURQdHJBYzk1Z2NtUT09
I've been working on building a Sudoku Solver AI. The goal is to take an unsolved Sudoku board (represented as a 1D array of length 81) as input and return a solved board (also a 1D array of length 81) as output. However, I'm encountering some issues. Here's my code: import tensorflow as tf import numpy as np from sklearn.model_selection import train_test_split model = tf.keras.models.Sequential() model.add(tf.keras.layers.Dense(81, activation="relu")) model.add(tf.keras.layers.Dense(128, activation="relu")) model.add(tf.keras.layers.Dense(128, activation="relu")) model.add(tf.keras.layers.Dense(128, activation="relu")) model.add(tf.keras.layers.Dense(81)) model.compile(optimizer="adam", loss="mse", metrics="accuracy") model = tf.keras.models.load_model("sodoku_1m_10e_adam_mse.h5") """ Soduko training data """ quizzes = np.zeros((1000000, 81), np.int32) solutions = np.zeros((1000000, 81), np.int32) for i, line in enumerate(open('sudoku.csv', 'r').read().splitlines()[1:]): quiz, solution = line.split(",") for j, q_s in enumerate(zip(quiz, solution)): q, s = q_s quizzes[i, j] = q solutions[i, j] = s quizzes = quizzes.reshape((-1, 81)) solutions = solutions.reshape((-1, 81)) x_train, x_test, y_train, y_test = train_test_split(quizzes, solutions, test_size=0.2, random_state=42) def train(model): model.fit(x_train, y_train, batch_size=32, epochs=10) def test(model): loss, accuracy = model.evaluate(x_test, y_test) print("LOSS: ", loss) print("ACCURACY: ", accuracy) def make_move(input_board): input_data = np.array(input_board).reshape(1, -1) output_data = model.predict(input_data) output_board = output_data[0] output_board = output_data[0] output_board = np.round(output_board).clip(1, 9) output_board = output_board.astype(int) return output_board &#x200B; I trained the model using the train() function, then tested it with the test() function. I thought the make\_move() function would output a solved board, but instead, I'm getting random floats. I then modified the function to output integers between 1 and 9, but the output still seems random. I realized that I haven't explicitly implemented the rules of Sudoku in any way, so even if the output was in the correct format, it might not be a valid solution. I'm not sure how to implement these rules besides repeatedly rejecting invalid boards until a valid one is generated, which doesn't seem efficient. So the question is: What is wrong with this code? What do I need to do to fix it and make it properly solve sodoku puzzles?
r/tensorflow
post
r/tensorflow
2023-06-29
Z0FBQUFBQm03SVg4VHZHOFNMU2gtRDh6NWgyUDV0T2RnWUxlM3Etb0xwWVVtN0htM1pNQlotYWNFWjNMamkyeUJPLTdOZDVGVWVXaGkyQThmTEJmTDRNM3JMT1hzVU1kSlE9PQ==
Z0FBQUFBQm03SVhVaU9xUTdQNzlFU1pnNUhsTzNUcTVNcW9wUlctOTQ3Nm9oVHluQmZDcUI1enlEZm1QcjFaYXNNRVZEX0FLOFhTU0JSNFVENDRoMzJPemVlT2xxN0YxZHd6WmJ1NWJUWG5pQUtiQ18tM3owaTVjNGFkS3lQcFNORTFHOE1WTVJ2VVE4ZUdJcWktajFiWkVNRFYtRllxakNmTjZybC1UR09acy1pcnpNVktYNFB0MkFBUzdzTUhRRjhTVmtZVzFyblQw
Hello everyone, For the last couple of hours I've been trying to solve a problem of which I'm unsure if it can be fixed, or if I'm trying something that just can't work. I have collected data from test participants for an emotional analysis, this includes heart rate, galvanic skin response and their facial expression. I have data of 11 participants, with 1Hz sampling, so 480 datapoints per participant. I also have labels that I want to use for training for every datapoint, for every participant, these are unique values (We are calculating their emotional change, so I have a slope value that indicates a positive/negative shift). We want to train a neural network to be able to determine this slope. My problem is that I have data from 11 participants, in separate csv files. I want the neural network to take each of these 11 files, train on that and update the values, since the relation needs to be assessed within each test participant. Currently I have made 2 networks using LSTM layers, and a CNN for the facial recognition. I use a fusion layer at the end to combine everything. My question is: Is this a good approach and is this doable, and secondly how do I correctly set this up, especially in regards to reading the data from the different csv files and how to handle the labels (which are also in individual csv files for each participant). Also considering that the end result of the network should be a slope value again. Thank you very much!
r/tensorflow
post
r/tensorflow
2023-06-29
Z0FBQUFBQm03SVg4MFVXaDZVVUVfMnNkTGJ2aEtjYUpxSGRwV1ViTDVEb01EdjB1RVgtcDJSRUkwNF80cmZyV0M2X3g0Y19iVlZ3R2hhcTFyLWpkb1VzZmVZWGJOeVFsc2c9PQ==
Z0FBQUFBQm03SVhVMEU0RG5SX0tsakM1UE1mc0YxRnByS3o3RndyVWp3d2xXVVRWelpqSDJBc1pJb2ZDVThxQXAyLWZUV3Y2a0F2OW9VSmRnNmZOc3FmcDVJMHkxZnRjRDd4SmdoT1R6b3RSRVBZVXhOVTVTdmVjeWpuUEJuRmVTZlBHRGR6eVgzZW5BMUFTOWpSbXZOUWROWmVXVExQS0RIS2dHTlVBUmVld0tvTG5nSEJyU3ZpbUZpcThHdU9iRmE4T3RqRTRlT0Nw
Introduction to Tensors in TensorFlow [https://debuggercafe.com/introduction-to-tensors-in-tensorflow/](https://debuggercafe.com/introduction-to-tensors-in-tensorflow/) &#x200B; https://preview.redd.it/ux54e5ksv19b1.png?width=1000&format=png&auto=webp&s=4ab183e55df9876702a07fd2cb614c6f44da1e5f
r/tensorflow
post
r/tensorflow
2023-06-30
Z0FBQUFBQm03SVg4Q3pHbW5UbE03WEo2X0VtWEFJckhtb0JiS3lVUmNtUi14Q2h2cUtwLVpUM0hnd1FSOFB4WlVPZzFYaC1wdnozMU4zVDZJQXAwbWloT0VWSjUxeF9MbGc9PQ==
Z0FBQUFBQm03SVhVd0VDNS1RNlBkcUttQ0loaUw1dTIwNk52NHNsVmZtS3VNbllvbXRYY1hoNGNla001aDZjSDVjVFJUQWV2RDFhQUFoRVB3S004VVpLUnFBR3lPdVVXUnpSc204SHlJU0hGb1dXbUxCXzFVYjFlRDJ1NXpkOE9OUmVEVnBGZTg5aXlhajZvRks4UC15YjVXU1Y4SUJZVTRxckFDNkpEelY0aDNGR0FfdUNJeVFQeEFnYnVRcVFsNU5aMlpVZ1lxSlpB
Hi, I am currently attempting to fit my training datasets into a model but I keep getting a Graph Execution error with my fit. Does anyone have any tips to fix this? Thanks
r/tensorflow
post
r/tensorflow
2023-06-30
Z0FBQUFBQm03SVg4RUZ5RFB6czBJT2pXZ2FTdnJ2R2dMSURIcDc0NlN4U2pGbTZFVmhnNHFfNzdQMDlTOUFhNUwxRGcxd05ydEtZZFFpdFNkM2Y0LXVLYWltdWMxZ1BXLWxCdUFtVFZoYnJxM0VkUklJeFVWd289
Z0FBQUFBQm03SVhVWDdLOXZGRllvOGRPLW5nT2N4ZTRtbzB4YTZ0Mk1uaUdMcmR2YWprX1FmQ1ZCOXltQTV5YWYxQkdCaGRZanRleXBFYzhwczZQQzVZSzFGUjd6NV9Wano5Y3JEaldYZ1lXR0tBSU9GVUpFTXRQbV80SzRLdWpkTkxvMXlsaGNFMDhNUDhhN3VDMGFfRkhNbDZNUE1SUU1IZlYyRFZlZjluVU5JN1lYaldzVUJFPQ==
too bad
r/financenews
comment
r/FinanceNews
2023-06-30
Z0FBQUFBQm03SVg4cXdaeFI2MWFfS0daNktQWkxzNnNsMk5yMmd2UG5Md3R4cDFMaWRRazM3TzE0R2Ezb3FQMU81U2ViWXVYOE1qQWptS2ZBSmRCMW1KbGt2aW14LVhweVE9PQ==
Z0FBQUFBQm03SVhVdG1Hc0xrTnp1aEVkanp1T3ZXVE8tTmM2UWo5OEl6czVpSXNRVUdsZUptaUJsLVpncnJqMkdlRUdlQ3l1UjhiSkNIeExxb0k2MmNuNlJLNGxuN0hMYVFNMHR0c3djeDJ3dmloSkExMS1rMzdXeTlFMzM2YTNPeE5IMXFpYlZkY2RTREMwdlFteVF1YV9oVm1BYmU5WjB4N1RSRjk1VVQ1d2cySEpJSnlQczJvUmRRMGttVTN1WWdhUUlTYkVtRVp1OUJBeTFhbnVxeWxCMVJqc0pfVUZYZz09
I'm trying to train "manually" a tensorflow network, but the dependence of the loss on the parameters is the following (I will talk about two networks, the one I want to train is NET1): * Given some input, NET1 gives me an output * The output from NET1 are imposed as weights of NET2 that, let's say, gives an output "u" * The loss is computed as some function of "u" * Now, I want to compute the gradient of the loss with respect to the weights of NET1. However, the gradients I compute are always zeros. I tried with the following approach: def train_step(self, input_weights): with tf.GradientTape(persistent=True) as tape: pred_weights = self.NET1(input_weights) weights = self.transform_weights_from_array(pred_weights) for j in range(len(weights)): self.NET2.weights[j].assign(weights[j]) u = self.NET2(SOME_INPUT) loss = tf.reduce_sum(tf.math.abs(u)) gradients = tape.gradient(loss, self.NET1.trainable_variables, unconnected_gradients=tf.UnconnectedGradients.ZERO) where "transform\_weights\_from\_array" is the following: &#x200B; def transform_weights_from_array(self, w_arr): W = self.NET2.weights w_shaped = [] k = 0 for i, arr in enumerate(W): n = 1 for dim in arr.shape: n *= dim w_shaped.append(tf.reshape(w_arr[k:k + n], arr.shape)) k += n return w_shaped it simply transforms the weights from the vector shape to the list shape. However, the gradients are not computed as I would have expected.
r/tensorflow
post
r/tensorflow
2023-06-30
Z0FBQUFBQm03SVg4eW5CVzR2MjZoMXNJTThUZ0Q1UjZsLWV5dXF2N3FiMTQ0ZGpPSUhYOGpORGYxaWdONlhtY1pmOWxWMzV5WURlWWNlT081dkcwZC1HYmI4X0ZOdUJtZVE9PQ==
Z0FBQUFBQm03SVhVd2dPTGNVdWNlNmdwdWIzNkhPckRkNXZHMlpvcXVHNlh4NzhNU09NVzZPemg5OHNGM3N2UWJsVGVkeFpFd28xLUk1ODIwd25fOUtJWHNLNmQtOFV0ZjFkNm5VN2E3bU9EMkl2ZWxyMjRNd1EyZkZSOWpyNFhVOWNWalg0ODBPV2h5N1FEMnBjbFVjSXN6RVEtYmQxUzJWdVFteERSUEFCcUw1OE1vNm9OdWZrM0dac3JHdGlWbVdtSGZvRGhxSHh2bFBPb2RRMzlSaWlDTFNZN2l3ampyZz09
I have a tflite model that I trained on customvision azure to recognize a basketball. &#x200B; When I check the meta data it tells me a lot of stuff that as a beginner i am not sure about what it is supposed to be. For example, my tflite yolo model expects as input a tensor of \[1,13,13,35\]. I get that I am supposed to have one image batch of dimension 13\*13, but why 35? Does that have something to do with the yolo model and the grids? &#x200B; Thanks a lot in advance for any help. This is in flutter how i so far code the screen: import 'dart:ffi'; import 'dart:math'; import 'package:camera/camera.dart'; import 'dart:io'; import 'package:flutter/material.dart'; import 'package:get/get.dart'; import 'package:hoopster/PermanentStorage.dart'; import 'package:hoopster/statsObjects.dart'; import 'package:tflite\_flutter/tflite\_flutter.dart' as tfl; import 'dart:typed\_data'; import 'package:image/image.dart' as img; import 'package:image\_gallery\_saver/image\_gallery\_saver.dart'; import 'package:path\_provider/path\_provider.dart'; import '../main.dart'; import 'home\_screen.dart'; int i = 0; late CameraImage \_cameraImage; int counter = 0; String lastSaved = ""; int Hit = 0; int Miss = 0; var height; var width; class CameraApp extends StatefulWidget { const CameraApp({Key? key}) : super(key: key); u/override State<CameraApp> createState() => \_CameraAppState(); } class \_CameraAppState extends State<CameraApp> { late CameraController controller; late Future<void> \_initializeControllerFuture; String \_videoPath = ''; u/override void initState() { super.initState(); controller = CameraController( cameras.last, ResolutionPreset.medium, ); // Initiate the loading of the model loadModel().then((interpreter) { // Model has been loaded at this point \_initializeControllerFuture = controller.initialize().then((\_) { controller.startImageStream((image) { \_cameraFrameProcessing(image, interpreter); }); if (!mounted) { return; } setState(() {}); }).catchError((Object e) { if (e is CameraException) { switch (e.code) { case 'CameraAccessDenied': // Handle access errors here. break; default: // Handle other errors here. break; } } }); }); } void \_cameraFrameProcessing(CameraImage image, tfl.Interpreter interpreter) { \_cameraImage = image; processCameraFrame(image, interpreter); // Process each camera frame } Future<tfl.Interpreter> loadModel() async { return tfl.Interpreter.fromAsset('Assets\\\\model.tflite'); } Future<void> processCameraFrame( CameraImage image, tfl.Interpreter interpreter) async { try { print('processing camera frame'); // Convert the CameraImage to a byte buffer Float32List convertedImage = convertCameraImage(image); // Create output tensor. Assuming model has a single output var output = interpreter.getOutputTensor(0).shape; print(output); // Create input tensor with the desired shape var inputShape = interpreter.getInputTensor(0).shape; //print(inputShape); print("eo"); //var inputShape = \[1, 13, 13, 35\]; var inputTensor = <List<List<List<dynamic>>>>\[ List.generate(inputShape\[1\], (\_) { return List.generate(inputShape\[2\], (\_) { return List.generate(inputShape\[3\], (\_) { return \[ 0.0 \]; // Placeholder value, modify this according to your needs }); }); }) \]; print("mamaaaaaa"); print(inputTensor); print(convertedImage.length); // Copy the convertedImage data into the inputTensor for (int i = 0; i < convertedImage.length; i++) { print("see"); int x = i % inputShape\[2\]; int y = (i \~/ inputShape\[2\]) % inputShape\[1\]; int c = (i \~/ (inputShape\[1\] \* inputShape\[2\])) % inputShape\[3\]; //print("see2"); inputTensor\[y\]\[x\]\[c\]\[0\] = convertedImage\[i\]; print("$x,$y,$c,$i"); } // Run inference on the frame print("here, line 116"); interpreter.runForMultipleInputs(inputTensor, {0: output}); print(output); // Process the inference results //print("here2, line 120"); //processInferenceResults(output); } catch (e) { print('Failed to run model on frame: $e'); } print('done executing'); } Float32List convertCameraImage(CameraImage image) { print('converting image'); final width = image.width; final height = image.height; final int uvRowStride = image.planes\[1\].bytesPerRow; final int? uvPixelStride = image.planes\[1\].bytesPerPixel; // Create an Image buffer img.Image imago = img.Image(width, height); for (int x = 0; x < width; x++) { for (int y = 0; y < height; y++) { final int uvIndex = uvPixelStride! \* (x / 2).floor() + uvRowStride \* (y / 2).floor(); final int index = y \* width + x; final int yValue = image.planes\[0\].bytes\[index\]; final int uValue = image.planes\[1\].bytes\[uvIndex\]; final int vValue = image.planes\[2\].bytes\[uvIndex\]; List rgbColor = yuv2rgb(yValue, uValue, vValue); // Set the pixel color imago.setPixelRgba(x, y, rgbColor\[0\], rgbColor\[1\], rgbColor\[2\]); } } // Resize the image to 13x13 img.Image resizedImage = img.copyResize(imago, width: 13, height: 13); // Create a new Float32List with the correct shape: \[1, 13, 13, 35\] Float32List modelInput = Float32List(1 \* 13 \* 13 \* 35); // Copy the resized RGB image data into the first three channels of the model input for (int i = 0; i < 13 \* 13; i++) { int x = i % 13; int y = i \~/ 13; int pixel = resizedImage.getPixel(x, y) \~/ 255; ; modelInput\[i \* 35 + 0\] = img.getRed(pixel).toDouble(); modelInput\[i \* 35 + 1\] = img.getGreen(pixel).toDouble(); modelInput\[i \* 35 + 2\] = img.getBlue(pixel).toDouble(); } // Fill in the remaining 32 channels with zeros (or whatever is appropriate for your model) for (int i = 0; i < 13 \* 13; i++) { for (int j = 3; j < 35; j++) { modelInput\[i \* 35 + j\] = 0.0; } } print('finished converting image'); // Now you can use modelInput as the input to your model return modelInput; } void processInferenceResults(List<dynamic> output) { print('test'); print(output.toString()); // Process the inference output to get the labels and their coordinates List<Map<String, dynamic>> labels = \[\]; for (dynamic label in output) { String text = label\['label'\]; double confidence = label\['confidence'\]; Map<String, dynamic> coordinates = label\['rect'\]; // Check if the label is "ball" or "hoop" if (text == "ball" || text == "hoop") { labels.add({ 'text': text, 'confidence': confidence, 'coordinates': coordinates, }); } } if (labels.isEmpty) { // No recognitions found, do nothing return; } // Do something with the filtered labels // ... } u/override void dispose() { controller.dispose(); super.dispose(); } Future<void> \_onRecordButtonPressed() async { try { if (controller.value.isRecordingVideo) { final path = await controller.stopVideoRecording(); setState(() { \_videoPath = path as String; }); //processVideo( // \_videoPath); // Pass the video path to the processing function } else { await \_initializeControllerFuture; final now = DateTime.now(); final formattedDate = '${now.year}-${now.month}-${now.day} ${now.hour}-${now.minute}-${now.second}'; final fileName = 'hoopster\_${formattedDate}.mp4'; final path = '${Directory.systemTemp.path}/$fileName'; print(path); //await controller.startVideoRecording(); } } catch (e) { print(e); } } Future<void> stopVideoRecording() async { if (!controller.value.isInitialized) { return; } if (!controller.value.isRecordingVideo) { return; } try { await controller.stopVideoRecording(); } on CameraException catch (e) { print('Error: ${e.code}\\n${e.description}'); return; } } Future<void> \_saveImage(List<int> \_imageBytes) async { counter++; final directory = await getApplicationDocumentsDirectory(); final imagePath = '${directory.path}/frame${counter}.png'; lastSaved = imagePath; final imageFile = File(imagePath); await imageFile.writeAsBytes(\_imageBytes); print('Image saved to: $imagePath'); } void capture() async { int \_1 = Random().nextInt(20); int \_2 = Random().nextInt(20); DateTime n = DateTime.now(); setState(() { // allSessions.add(Session(n, \_1, \_2)); // lView = globalUpdate(); }); if (\_cameraImage != null) { Uint8List colored = Uint8List(\_cameraImage.planes\[0\].bytes.length \* 3); int b = 0; img.Image image = \_cameraImage as img.Image; var input = \[1, 13, 13, 3\]; //img.Image image = convertCameraImage(\_cameraImage); img.Image Rimage = img.copyRotate(image, 90); \_saveImage(Rimage.data); // Convert the image to RGB format using image package // img.Image image = img.Image.fromBytes( // \_cameraImage.width, // \_cameraImage.height, // \_cameraImage.planes\[0\].bytes, // format: img.Format.yuv420, // ); // img.Image Rimage = img.copyRotate(image, 90); // \_saveImage(Rimage.getBytes(format: img.Format.rgb)); // Run inference on the converted image // Process the inference results } } @override Widget build(BuildContext context) { if (!controller.value.isInitialized) { return Container( color: Color.fromARGB(255, 255, 0, 0), ); } return Scaffold( body: Container( child: Column( children: \[ SizedBox(child: CameraPreview(controller)), Expanded( child: Container( color: Color.fromARGB(255, 93, 70, 94), child: Row( mainAxisAlignment: MainAxisAlignment.center, children: \[ Text( Hit.toString(), style: TextStyle( fontFamily: "Dogica", fontSize: 60, color: Color.fromARGB(255, 0, 255, 0), ), ), Padding( padding: EdgeInsets.fromLTRB((w / 3) - 65, 0, (w / 3) - 65, 0), child: GestureDetector( child: Container( height: 80, width: 80, decoration: BoxDecoration( image: DecorationImage( image: AssetImage(basketButton), fit: BoxFit.fill, ), boxShadow: \[ BoxShadow( color: Color.fromARGB(80, 0, 0, 0), spreadRadius: 1, blurRadius: 5, ) \], color: Color.fromARGB(0, 255, 255, 255), borderRadius: BorderRadius.all( Radius.circular(30), ), ), ), onTap: () => { //capture(), setState(() { Miss++; Hit++; }) }, onDoubleTap: () => { //Session s= Session(DateTime.now(), 10, 7); }, ), ), Text( Miss.toString(), style: TextStyle( fontFamily: "Dogica", fontSize: 60, color: Color.fromARGB(255, 255, 0, 0), ), ), \], ), ), ), \], ), ), ); } } Uint8List yuv2rgb(int y, int u, int v) { double yd = y.toDouble(); double ud = u.toDouble() - 128.0; double vd = v.toDouble() - 128.0; double r = yd + 1.402 \* vd; double g = yd - 0.344136 \* ud - 0.714136 \* vd; double b = yd + 1.772 \* ud; r = r.clamp(0, 255).roundToDouble(); g = g.clamp(0, 255).roundToDouble(); b = b.clamp(0, 255).roundToDouble(); return Uint8List.fromList(\[r.toInt(), g.toInt(), b.toInt()\]); }
r/tensorflow
post
r/tensorflow
2023-06-30
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ERROR: type should be string, got " \n\nhttps://preview.redd.it/f2rv55r7269b1.jpg?width=1280&format=pjpg&auto=webp&s=d28dcd2e176582c1ad60d94f1aceb3c82e9b2a6f\n\nDiscover how to classify audio chords with our latest YouTube tutorial!\n\nIn our latest video tutorial, we will show you how to use a convolutional neural network (CNN) to classify audio chords. 🎧🌈 \n\nWe will start by examining a few audio files and playing them back. Then, we will code a transform process to convert the audio files to spectrogram images. Spectrogram images are visual representations of sound waves. They can be used to identify different frequencies and amplitudes, which can be used to classify chords.\n\nNext, we will write a CNN model to generate a binary classification between major and minor chords. We will train the model on a dataset of spectrogram images that have been labeled with the correct chord. The model will learn to identify the features of each chord and to classify them accordingly.\n\nFinally, we will test the model on a new set of spectrogram images that have not been labeled. The model will predict the chord for each image and you can compare its predictions to the ground truth labels.\n\nThis video is for anyone who is interested in learning how to use deep learning to classify audio chords. It is also a good resource for music producers who want to use machine learning to improve their music.\n\nI hope you enjoy the video!\n\nIf you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : [http://bit.ly/3HeDy1V](http://bit.ly/3HeDy1V)\n\nPerfect course for every computer vision enthusiastic\n\nactually recommend this book for deep learning based on Tensorflow and Keras : [https://amzn.to/3STWZ2N](https://amzn.to/3STWZ2N) I \n\nCheck out our tutorial here : [https://youtu.be/DOOA\\_kaiHSo](https://youtu.be/DOOA_kaiHSo)\n\nYou can find the code for this video here : [https://ko-fi.com/s/585fb97174](https://ko-fi.com/s/585fb97174)\n\nEnjoy\n\nEran\n\n&#x200B;\n\n\\#DeepLearning #AudioClassification #SpectrogramAnalysis #MusicAI #audioclassification **#computervision** **#tensorflow**"
r/tensorflow
post
r/tensorflow
2023-06-30
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r/geopolitics
post
r/geopolitics
2023-06-30
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4.) The defending military can defend cities easier with modern, long-range weapons.
r/militarystrategy
comment
r/MilitaryStrategy
2023-07-01
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I am trying to work on fermi-net a deeplearning model. Unfortunately for me, It is written in tensorflow all the while the language I know is pytorch. So I am transitioning to tensorflow. Is there anything I should know? Perhaps a resource that I can use? Any help would be appreciated.
r/tensorflow
post
r/tensorflow
2023-07-01
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r/trollfare
post
r/trollfare
2023-07-01
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Dear users, After reading the [feedback](https://www.reddit.com/r/NeutralPolitics/comments/14m8qh7/meta_discussion_the_future_of_rneutralpolitics/) and discussing our options, the mod team has decided that r/NeutralPolitics will remain 'restricted' for the time being. This means there will be no new user submissions, but we will have occasional moderator posts. Comments will be allowed. Our sister subreddit, r/NeutralNews, will reopen with a sticky message of protest. The status of these subreddits may change at any time depending on internal or external factors, including potential actions by Reddit admins. And as mentioned in the meta post, these questions of status will only continue until our team can move to a new platform. We don't see a future on Reddit. If engagement here returns to pre-protest levels, we may need more mods, in which case we'll put out a public call. We're not taking unsolicited requests to join the mod team at this time. Thanks for your patience. — r/NeutralPolitics mod team
r/neutralpolitics
post
r/NeutralPolitics
2023-07-01
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title
r/tensorflow
post
r/tensorflow
2023-07-01
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r/tensorflow
post
r/tensorflow
2023-07-02
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I was listening to a talk about authoritarian personality and the speaker did bring this topic up, and how studies have borne out that it is, in fact, a thing. What I'm trying to wrap my head around is what that would actually look like. From my very (left-leaning) biased, American perspective, how can you be "authoritarian" about freedom? The term alone brings up images of right-wingers thinking that, say, a trans person asking to be called by their chosen name and appropriate pronouns is some kind of controlling, authoritarian demand. Or that the left demands lockstep conformity and obedience, as evidenced by how much they'll cancel you for saying that something demonstrated by science doesn't exist, or generally treating some group or another as subhuman. Basically calling the left "authoritarian" because they don't approve of calling people slurs On a more reasonable level, I could see stuff like socialist revolutions, violent protests, or just hyper-PC SJW types (the kind of split hairs over minor nonsense that benefits no one) as actual examples. Could a rigidly environmentally-conscious society be a left-wing dystopia, for example? Strict controls on what you can and can't do or have, but rooted in presumed "safety" rather than morality? Or maybe the WEF's infamous "you will have nothing and be happy", as left-wing authoritarian? The studies I skimmed as I'm not smart enough to read them, suggest that LWA applies when a person scores high on authoritarian traits for left-aligned positions only. So, what, supporting legislation to mitigate climate change makes you authoritarian? If so, now what? Sorry for the ramble. I feel like when we talk about RWA, many people have an image or two in their mind of the type of person, their beliefs and behavior, and how it's problematic. I'm trying to understand how that genuinely works from the left wing side.
r/ask_politics
post
r/Ask_Politics
2023-07-02
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r/neuralink
post
r/Neuralink
2023-07-02
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QAnon are a bunch of idiots, but progressives should question why the DSA has this statement on their website regarding the war in Ukraine: >DSA reaffirms our call for the US to withdraw from NATO and to end the imperialist expansionism that set the stage for this conflict. While they rightfully condemn Russia's invasion of Ukraine the DSA then goes on to promote the above Russian propaganda/narratives. Progressives should look internally to root out their own disinformation.
r/trollfare
comment
r/trollfare
2023-07-02
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For the third quarter, Walgreens posted a profit of $1 per share, short of forecasts. It pointed to a 19.5% headwind from “significantly lower COVID-19 vaccine and testing volumes.” Revenue rose 8.6% to $35.42 billion, better than expected.
r/financenews
comment
r/FinanceNews
2023-07-02
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Hi! I am currently a student of Biotechnology in my local university (UACJ, in Ciudad Juarez Mexico). I am seriously thinking about studying another career when finishing this one, I am thinking of studying bachelor in nanotechnology. How much opportunities would I get having: \-Bachelor in Biotechnology. \-Bachelor in Nanotechnology. And also a Masters degree in a nanotech related field. Apart from being passionate about those two areas, would having those two degrees give me an advantage above people with just Bachelor in Biotech?
r/nanotech
post
r/nanotech
2023-07-03
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Z0FBQUFBQm03SVhVZEJGWjE4d0Nib21pRXM5SzFhcE1sM1QwX051S05JcE10SHVSMmZGeUdqSy1TVTNPejJ1NjdCSU1WcEtXZlhMTGtYdUpBQlRrVU5UX05uUGZsaDdKQkdpLUYxZHBlMDNVZW9fVzM1NFFYUlE2VUNFSlpWeGF4ZjE3ckxjWjY2LWg3NzBSNmtNM1lfdXk5bjRIdUl5MFZ5bXE3WFY5c1I0bmdhS2hISVRUTnRJPQ==
r/deepmind
post
r/deepmind
2023-07-03
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r/illegalimmigration
post
r/IllegalImmigration
2023-07-03
Z0FBQUFBQm03SVg4ZjRsUUFMaEdQTnRWSW9lcjc1YTl3cDYyZTdWWjlJQnJSQVJOYTFad2pZbUZfekJ2MzRHS2NnTEFnNFFSMDFxM3dyS3NlanptRVlpRkEtTVBUNzNsenBPdlJiSnpZQVFYOGlhSkl0NWo4MFk9
Z0FBQUFBQm03SVhVNGpMR1Rtalc5ZzFQalhXaXJINzVyZlpTeEV2NERQZDZoMVFBcHpTaDNpMHhfanVLMVh0dVZrQXQ3VzB6RWRNRVVKaDJXNDNtOXFFN2VVdUk3T3JHUnZzR29meDl6OHd2WnE2bkE4ZlpBTHZobjJnNGRDaFdMVUdYWTRCd284Y0thai1KV0l1RDhWalpJSHZUOG9fLXo2SWFiZHJuOUFPQ1RHcGN0NFRyQnFJU0VZSHcxSk5lTTRZUXRBTDVDZC0yQkN5R0dxTktCNmtaUTUtZkdMdm1DUT09
You can send a thank you to all those people that abuse the system.
r/refugees
comment
r/Refugees
2023-07-03
Z0FBQUFBQm03SVg4UGt3N3VBbXQteGVha0h2RElUanR1SDRHdzhfemxJdkpBTzh5TVdzbDB5YWt2clYwZVBwV1JNVHZFNDctbVhjSnFZTm5XVU5LX19kRm5qd1dLSFpTUUE9PQ==
Z0FBQUFBQm03SVhVQTdMVWZDUVdCOUtSY2p6NEx5bXZ5bHc5VGZjZUJlekZ2RXY1UnNzUnhpWV9yRnFTSXYtM2liOXRONGdfc0FwSjR3dElTdXNjRnd0QmhlTWdXejFDTzRYZWZGODRjTFMzeGh0TWdPZks5NERZdHNvSUo1clFSQ01oTFNFM19OYzc0Q0w5WURSM2c3Vk5aUjIxb2RfSHVqUmRiakNwcUg3X1JVYVBGaUpYNlFpcXlDQkNMSTUwTGRaS2ppUDEzYWNlckVGdUk4UlJyLU9YTjA0MjI5aHp5QT09
I am very confused and new to this. Missouri decided to make the decision to move to caucuses rather than primaries. My questions is how does one participate in a caucus? I understand it may be different by state, but how does it usually work at least. Essentially, how would an average citizen be able to get themselves into participating in a caucus?
r/ask_politics
post
r/Ask_Politics
2023-07-03
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r/yemenicrisis
post
r/YemeniCrisis
2023-07-03
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r/yemenicrisis
post
r/YemeniCrisis
2023-07-03
Z0FBQUFBQm03SVg4SUdlWkFMUWFtclBiaHBlTWc3dm9ad1RGU2tNb2lsZ2c3bmtXZEo2NENRQThpNl8yN3hLVzRtV1FRd2UwejBTZFRYWGFLZ1pReW9lLXBPZ1JvM0F5VVE9PQ==
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r/trollfare
post
r/trollfare
2023-07-03
Z0FBQUFBQm03SVg4WEtCQjBqS0xnc0hRVXZjRFBUNTJCX1BCS0JfZGdTeE5pSFhlTzllVEpTbTVWc3d0VDhHN2w0eVhwQ2wxZFE4VlNBcnp3cjk4djdmWXZEdjktV3Y0Rnc9PQ==
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r/trollfare
post
r/trollfare
2023-07-03
Z0FBQUFBQm03SVg4Vkp6TDBwZjVhbWRsMGpPWFN0QUZtT1NjeHVNcmJvN0dVZEJGTDlNUm5HbG9qWjRzMzJMT25ibGZWX3dQenF4eWNwQks5LUhBOWxJa1d0YmFRb2pVeWc9PQ==
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Hello how can I design a simple encoder-decoder based model that only uses the GRU network. And for the word layer embedding, I'd like to use Vec2Word or FastText vectors. I'm new to NLP and TensorFlow and I just need some clues to understand how to design the sequence layers and I have already preprocessed the dataset. I have reviewed a lot of Github codes and research papers, what I don't understand is how to use tensorflow v2 to design the model and train it! Thanks a lot.
r/tensorflow
post
r/tensorflow
2023-07-03
Z0FBQUFBQm03SVg4VEFRZ0NFeGxFSnZPVkxGMnJEbGVIOGpYdzlORVpJVnZhWDhBUk9EeXUtSHlvbUJjZEZkQ2V5SEVTZktudHhpQ1M0U2NmODRsZDgtYnBxUnZoc0RNcWc9PQ==
Z0FBQUFBQm03SVhVcHdLZlB3NV9pWEI5bEt6ZUVueU15bDBfUWtxUlVSSTZncnNUeWtrQ09RLTlreVBDbDFaNWdGWGVFQmFhM2ZHUjBHRGJFeU8zNXh0MWNLMG9KSkhMcG1yYUs4eC1BemVMUEFrN1dZM1F6OGlSZnR1NklEdGJ5c213QVBWVWUwdUdKX0lsT0JlMUgzb0JJY2RhLWJLQWVYVmp0TWtjSUpmOGZJY01pWlNlYW5OcUgxU3RFU2VSLTBOeTd2MDV1eUpFUlM1clJmWWM0dHJwTnpmYUNzdlFfUT09
I’m not on Twitter, can I get a copypasta or some such?
r/trollfare
comment
r/trollfare
2023-07-04
Z0FBQUFBQm03SVg4UUZHWS1oR2JQN3B2MHRaMDhIeHFROV95eVR2cmhrMU81Wl9rbXE5ZGUxckZtRkN6N3JtaElUQ2ZZcHdlRl9pUTNHT2tFVXViUEFpVkRCZXEyT3NNNEE9PQ==
Z0FBQUFBQm03SVhVOGRBMmZ1d21uRVE0MzVLY2QxSlRzN2JpRTV3RU1jbmoyclRydkpJZTZOdWFfTjhsY21XRUM2ZzVSYmZzd2RMa2l5SUtKdEVYSDhKQk9OZTBVTmNVUTk4Q3VOZlBrOTJsMnM5dW53WTZFeG54eFNxLVpLYURlaHFyMGVqRkZPQnFaa1FvRExQQjdKSWNkYnlwazNRZGsxLV84Z2lCc045ZVJKcnlESEpBeWJPZlgtc0prSVVkUks3N003dGN5YWxoWTdpVkd5ZTUxWjZod2VuRTg2Z1pkZz09
My dad (who is very conservative) complains that democrats make these huge bills (1000s of pages long) and only give congress a few days to read through it in an attempt to push their agenda and sneak things into the law. I am very liberal but I so I don’t agree with his politics. Is he right though? Are these bills impossible to fully be read and comprehended in such a short amount of time?
r/ask_politics
post
r/Ask_Politics
2023-07-04
Z0FBQUFBQm03SVg4RXcwUUtJVHp3VmRCZHVRYzlmSENRejMxQWJpSVZ1RUowaTRnUGFjb3J6WHZJWkRvTFpYWG1BbEttQnNBMWVYTzlXWjNoek4xcHRhUmpnS3c0alRtZWc9PQ==
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r/deepmind
post
r/deepmind
2023-07-04
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Link not working Can you repost here
r/trollfare
comment
r/trollfare
2023-07-04
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It may sound loaded but this is a genuine question because I legitimately don't know if it's this easy. The "housing crisis problem" as in the rising cost, and "easy" as in being simple to fix not easy to implement. The solution is to just build more homes (private or public) and remove regulations that prevents homes from being built such as some of the restrictions in zoning laws. My understanding is that most developed countries don't do this because people in real estate holds an immense amount power and they will lose a lot of money. Based on my train of thought homes crisises happens when they all want more money individually at the same time. If I'm right which I don't think I am, then they're spellcasters making this reality feel like it's just nature. What am I missing?
r/ask_politics
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r/Ask_Politics
2023-07-04
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Z0FBQUFBQm03SVhVeVNCRzhsdUJRcDBDX19HZjU4WURGbXlqMG00djM5RzVWV2tBd3BtNGx0Nll5RVJTeFZaSDlDMHVUQWdfbzZzY01TTWZTRFFJV3J2X21iZ0s3YVdBOU5uRUhybDlFOEFSbGdaeDdkTHJaZExhN0pzSjJCTnhxRGhBaDUydUZkd2tPUlpVdU94UENkMmx3cjVRZ1kybDB5YmVKZkVfVGUwdzNZMmJzNGthZ19yOUxhWndtQTFOVXQ3SHgyZUhhcWFX
For example does possession of magazines with 15 round capacities become illegal if a state law is passed prohibiting possession up to 7 round capacity magazines? Would this be unconstitutional? Please serious answers only I want an answer to the legality not opinions of either side. Thanks
r/ask_politics
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r/Ask_Politics
2023-07-04
Z0FBQUFBQm03SVg4X2QyZXoxeDBOZ280WXZWV2VKcXVxVUd5YmpFSzBXUnBabTRTQk9SVUlXQjNVU0Y2ZmpqNUpxTVpFekVUbUk3cnZTR3BzMHhBT0diaHlINkQtaml4YXc9PQ==
Z0FBQUFBQm03SVhVSi1SaGUyVkZLZUhWZEZaRVlGX2JrbzZrYV9HSjhTclZUSlI4V1pqSm5lUFptanNWN25xdEtmang1V050T0FyT1JQSUw1U3pRYVh1NUVOTm0wODJwYUhYUVlLOER6TlB2Sk1qQ3pkNU9QalFMblJHMWYxY2Joa3VFWTFPdjNrd0x1bHVMaXR4bnN5V2ZMYi1HM3lVNnlSLVlzOHRmbUxwbWljZi15bERWU3I4WHpvbGFJdk9vNi1RRHR6MWFxd2lSYU14aVdZbFEtRXZvV3dpcUdackZwUT09
Is there an alternative of the sonnet function [BatchApply](https://sonnet.readthedocs.io/en/latest/api.html#batchapply) inside tensorflow?
r/tensorflow
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r/tensorflow
2023-07-04
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Z0FBQUFBQm03SVhVMGVEVnlOS0lxalYtNnl3TTFUUUc0akZCcExsa2ZzakFCVWI0Sl9CQ1poSWtjUDVUZUN1WHk5WDNiTk13UmE5Xy1OYWUyZi1Ral9QSWxqOHIyaktodGx6d0xMRmtDUE00YTZJQ0Q0eWNCSTZCc3ZBcWlmSTJyMzNrRXBRRVA1eEF1ZjJUT25fVGhKSTBET1IwcFFqVEJNVkRUaGhQRzlJQXh4MmY2Rldab1hOcTNqWkEzY3M2Zk1kNkxLb0VObHRK
r/tensorflow
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r/tensorflow
2023-07-05
Z0FBQUFBQm03SVg4RGxicWxhT3ByNTloU1VzaElPOFpPaXp5VzFaNXYwd0xfako0U281OFdLTHJ2SXJmbUpkWGczejI3cy1wTGJyeGtBQVFfTTJzWGh0QVlPaUR1cm9GelE9PQ==
Z0FBQUFBQm03SVhVTFMwUmhtRTlUQjVMWHE4SjdTMHNNU3NYQ1NlX1ZmWVJXZ3RmUTBKZXhUWXVrTjhzbTRvdG56cHRnWkd3aUZUd1pzTGdwQnlXWlRrV3R4cW5JbVlmRmRfbG9ETlNsMnFidWFPdURjVzdUQkFJNWZZY0hmVVJMazJzRV93SEtOSWgtSHZqOVFmRUxjSkoxbzc3bGxjZHdraVI4NVlrNkV3MlNQSUREbDhibTJYeW91SmJqcTN5bmx2aHAtbUF4ZUVMR0NGMFcxdHVTa0J4aUFjblp5OTB4UT09
It's wonderful to see Saudi Arabia and France engaging in cultural cooperation! Such collaborations have the power to bridge cultural gaps, foster understanding, and promote mutual appreciation. Through the exchange of arts, heritage, and ideas, both nations can strengthen their cultural ties and enrich their societies. Looking forward to the positive outcomes of this partnership!
r/middleeastnews
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r/MiddleEastNews
2023-07-05
Z0FBQUFBQm03SVg4QzMzZlgtR2NPdkk4M0ZVaTZhWnVuTmxvT3Q2VnpGaU1aZjBBUXNCNHlUQktuaEhWT1dJdFRaU3JZSjF5VjhGVTZybmhvWmV1SnhuZXE5UlJiNnpHcmc9PQ==
Z0FBQUFBQm03SVhVM3BRZG8wQXRXX19BN3c2RTNEamJoQUZ2dmNlX0VMRzBSdGF4QWIwT0VCb2xjMDM3dUVLZzk4VHVWQ296U2pjczRHUUt0UjNXMURwMGFENUdtbnpqcDlzOXJUYk8wb2otT25nUzhqdTZWazZ6UW1wNUZkdy1NRXVVSmduQWM4VGFtaDZmRTNDQmZUZVMwcDUtdXB2SktxNDFoTUZ5aFFOSzhNZWdocUw3WDBrS0FkclNHcjQtaTBibnp5R3NueWlzZU5ZRTB0Znlhd3Rfb1ZzdXZnOXdFdz09
Exciting prospects for Arab-China investment and manufacturing ties! The recent Riyadh event marks a significant step towards strengthening economic cooperation between the two regions. Increased collaboration in investment and manufacturing sectors has the potential to drive growth, innovation, and job opportunities. Looking forward to witnessing the positive outcomes of this expanding partnership!
r/middleeastnews
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r/MiddleEastNews
2023-07-05
Z0FBQUFBQm03SVg4OWpCUVhJbUVLUTNmOS1ZUHU4SllSdmZuVmR5MHRLRTJhamlWQ0Y2dy12YlVET3lmdUNqRm0tVXlNZWFCOHBmTHRZOEhoX1BOR1p4T0JaeFBlZjhwTFE9PQ==
Z0FBQUFBQm03SVhVNk41VTZrWk81eDJwTGYyYTBvWEVyMnNnX2FDT25FTWdLRFBFTjZxeHZNTEc0ck9FRWp1N1BZaGFweVNZLTI5WlJGN1JlVFcyeXJSMWxrc3JKcXpkMkttWVBFTk5GSkVRVWpmNjhOSWwzbzdkY1FQZld3R0JJSVZtRjJSWW5lZm8zcjFYVkFQVjBJb0pYZXdOeHYzZUlkc0g2ajJpZkNtN29sQk9RM0lCVmJYX09MQUt6UXJKejR5a19kTWdXamJGTUN0TVhxQzNrenRsalZXZUdYalBjVWt1Rjd1NnNoc282bmdrMmRkel9iND0=
Quality Essay Writing Services Moderators Approved: The step-by-step procedure is as follows: 1. Send us an email [email protected] or WhatsApp: +1 (201) 381-1580 or post it here on reddit 2. Cut a deal with the admin ($15 per double-spaced page) 3. Send all the instructions and the deadline to the email 4. Sit back and relax as we do the job and deliver 5. Review the work (Top-notch) 6. Pay after reviewing and making sure it is up to your standards and expectations
r/econpapers
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r/EconPapers
2023-07-05
Z0FBQUFBQm03SVg4aVJJSlVzUXJNOVdNODYxUEhuRGZuVzlOemwzUWRhbTRoSUZZbllxTXVTMGFJVkhhODk3NTlMYlFtNHBzTW5aU1hVYkNPempSZEgtVG5WeFktV0E3bWc9PQ==
Z0FBQUFBQm03SVhVZnJCMXR4VmhNZDhUOXdMNEowdXFzOTU0V3dQTGs5YUlDUlFvVVFxekFPdElZTDNoNDRYeUN6QlhKTFoySlA3aVJ3TWo5UGt0cXpoYnpmc0NkM0xiYzdQM0lPUGZPbXA2cllFZFp2TDJ0TDZ4OTJCYVFDWGRaZENjTjBNUWIteFp6ZzhMQUJlT2czU1RzeUNUV1UwUXNYTVAtalBnSW8yT3hMb2k2ZkNPT1BHREVSNFQyQk4wRmZxVm1uVTlGSjBE
r/trollfare
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r/trollfare
2023-07-05
Z0FBQUFBQm03SVg4dHBOUWVqMjUyOHA5ZElHMVZyTmduVXh6bDFublpwaHcxRnRMUEMtTXFraHBlUEFRVmFvV1prUFU3Zko1YzY4c0VSVFpPUUxwTkdVQm1qUkFwc05TMFE9PQ==
Z0FBQUFBQm03SVhVcjYxMGZJSmFKMTV5LVFFNzRDSGpOSzZQZm5RaU4zUWhCd0hqQ3QzSFdjazk5ZUdsMmhKMVJ5ZTV4emlma2pJcVdqY2NMZ1lQR25KNFhad2dOREU4TngxZWxVYTA1TzFCa1plV1B1TXM2SnpoeDZqSEEyUWxyX0k5TVRybWRwTmJEc3FEVDN6RkwtOEpHQ043X2VyTjdyVGxDOTBLQ0FMZ1Q3WTJJdU9IU1ZGVjJsczVGQlNJclNGUkI1ZTR6Wk5FTjZTaHV6Sy1icHBZNWJDZnNkWEQ2Zz09
There are Russian trolls all over Reddit. Probably funded by the FSB now.
r/trollfare
comment
r/trollfare
2023-07-05
Z0FBQUFBQm03SVg4VWYtTkJqeVlicnlQaU0wYlI2LXBVQjFGZ0FjbjR2ekhxNzdZSUFNQnFVTU90VnZ4LUZpY29aVl9SdG9SV2tGaWJURDZCakRZYzZGY0VZbm4zMFJuSmc9PQ==
Z0FBQUFBQm03SVhVRFVubUF0V19OOXFzUW9HMVNuS0s1RngxSFYxcjBoNFZ0a3NTTTdob0VoUmphMGNBa2hGTUxySkY1R1AwNldqZWUta3VPbUtWSkFIN1hmeVk0Z29YSU82VkRiSWxGSUE0WXllUTNhM1dHNEd0RzlmdGs0bGhYS1dVZF9zbWNLR0VTNDRxRDF3Z2VnYkd2dGNtLWR5NW1GQ21nZGozLVVxWldxSmd6VzJSd3JETnBuZWxFeXgtaXJ0R3pOWGNDUU84eXlBTF9IWXpxMDdrV1g0SmNEaGlJUT09
r/trollfare
post
r/trollfare
2023-07-05
Z0FBQUFBQm03SVg4QXZfUjdlbHduZnVHZDEtS0pBbVdOVXQycV9zbGdGbC14cHE1MTBZNVVINnpVMXNOQ3lNeWxaNE1PTm45ZlFkaFBmRThLNzNsS2I2Tk5hdmNIaEJpbUE9PQ==
Z0FBQUFBQm03SVhVRlFaWXk2b0tNNmxweHppLUNjWTloa0JIVVVIM3ZwTklJSFFzUmZIZUxJLWJVSUU3WEhYOHBFMlVnYklOS3JXY2RlbE42TklkMEpCd0RtWEpocUtoT2V5bjJWZDBSSHNqQzdLeVZCX3RuQTQ5TnZPakRQbWsyTWhuSGl0YlU1bFVrM0VGcDdsVU1LTm9lMUNnUmlvdG5Oc3Uwb1BvRTFZMlg2ek4wUHhSQU5ZN0xaWDJmeUFoMm0xVHYxQXR2Y0dNTkt4bFllZDUwQ0VlM01ELXNmTVY4QT09
There are still Russian trolls all over Reddit. They are probably funded directly by the FSB now.
r/trollfare
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r/trollfare
2023-07-05
Z0FBQUFBQm03SVg4d2FlclM0ZktISGFYX2YyWHIydzVrUjVPa2VXZTg0cTlXOFdYNlJnRUYtNzVzdTc2UTR2bXJlUFBfMkwxUFZjZ2R1VDZFT1Y5VkJOWm13ZXRucVdwUlE9PQ==
Z0FBQUFBQm03SVhVWDVEYXhvUjRjdkUyRkFkdjBRX2NpWVJDQlRMeV9uTUtNV3VMU253b1NQMUtBa2g3WjBiX0IwTE04QklrU1MtTWJ5M2t5R0VpZTd3bUlXSVl4TnpPaWtuSEg1a00ySDNZZUItcGZhbG1iamRlVWEwUGt4cldPcS1vbnQ4ejRQeUNnS3ZKbl9vZUVueFo5cVFVX1MtODUwZ1FsaVRTSVJFRTNpNmZnaXpPN19uUXdpeEVPXzZGSy1jOEVDTFJxSHozRnU5SWtDUVZrU1kzYUVlVUVyRk5Gdz09
r/trollfare
post
r/trollfare
2023-07-05
Z0FBQUFBQm03SVg4eDBQTEYtQWh1aUhteU5UZTNqY2RTU01Kbjl4LTJIYjNDRHBVTndyZG1PM19oN3VJT1NXNzQxcHlWajR5WHpSX1RLT3R6bDF6SXhGb0xYV09PNlRiYmc9PQ==
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In the recent SCOTUS case [303 Creative LLC v. Elenis (21-476)](https://www.supremecourt.gov/opinions/22pdf/21-476_c185.pdf) the court ruled 6-3 that the web designer in the case has the right to refuse to work on a wedding website for a same-sex couple on the basis that it violates for religious beliefs as a Christian. Here's my question... Would this ruling allow this web designer to ***also*** refuse to work on the wedding website for a couple that is a **different religion** than her?
r/ask_politics
post
r/Ask_Politics
2023-07-05
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I'm surprised Prigozhin's troll network wasn't leveraged more in the mutiny / coup attempt to undermine Putin. Underscores my suspicion that this was either impulsive on Prigozhin's part or was some kind of coordinated move behind the scenes to flush out traitors. Who knows. I wouldn't take anything out of these people at face value.
r/trollfare
comment
r/trollfare
2023-07-05
Z0FBQUFBQm03SVg4aHA0TjE4bUVEVkdqS3UwVjlOampMMjdYUFpybWxfanFWbnY5eFBWLXhTZl9nN3ktcTVtUGdQalN6Z0FmUkFfYnVMMFZ5d2x1NzZneEMxNEpXdXpGbVE9PQ==
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r/wardocumentaries
post
r/WarDocumentaries
2023-07-05
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all that text for only 1 comment.
r/militarystrategy
comment
r/MilitaryStrategy
2023-07-05
Z0FBQUFBQm03SVg4VTIxOTdyM0VqcmFLMGR1dVd2a2FlMDlPQV9HM3NYampMcWU2U2tmZ2RKUXJzYjZ6dDFMTnQxMTk2Y3ozSHpVYi1LTlBKaGMwMWRpS3pJeXhfTllGb1E9PQ==
Z0FBQUFBQm03SVhVYU9MbzNoS0tEbS1wekUzLU5oRE52UTFvU0R3akpVSnplU2FaM054WHM4OC1IMWd4SG5BZHlwaHJtR1k2amktQjhOOXhaZ1VrcUxYalNidXpRdk12Yk1wbUE1NFluSmZYYlU5LTl4SURSblpZYVR1MFFlZ3RZNGZqSjlxenVlN0pMTFRSWXBweGhUUTVWNG5LYWpmTzNNU3ZBa2pIZ01wYXFWdDFhMUhtclJKTktjcWF1cWlvSGRIUjVzeGUybmpZY0g4OWpzaXRQbkozMzd3ZXdlWVdndz09
Hi, I’m pretty new to tensorflow. Previously, I’ve been able to load a model from tfhub, but now Python just gets stuck on it. I’ve literally copied the exact code from the colab (https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/semantic_similarity_with_tf_hub_universal_encoder.ipynb#scrollTo=zwty8Z6mAkdV). Not sure why this is happening, as model loads fine on there. Any help would be appreciated.
r/tensorflow
post
r/tensorflow
2023-07-06
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My situation is that I am from Malaysia and jobs in tech are lowly paid if not nonexistent altogether. So my outlet for getting paid well would be remote jobs. But does the certification hold any actual weight or will I still be slapped with "X years of experience required" response by interviewers?
r/tensorflow
post
r/tensorflow
2023-07-06
Z0FBQUFBQm03SVg4NDRCS2VkeFlxZ3M3YVBGY2x5NlBSNE83cDBPU2EzV1pRc1o4N3FMSG5QSWxmS2xTMmUtc01ERWxFTUF6YWxER2FnOE5lS21YNHR1VEdrUzdXYnloVnc9PQ==
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/u/EssayOx is a click-farming spam bot. Please downvote its comment and click the `report` button, selecting `Spam` then `Link farming`. With enough reports, the reddit algorithm will suspend this spammer. --- >!^(If this message seems out of context, it may be because EssayOx is farming karma and may edit their comment soon with a link)!< ^(Reddit's new API changes may break me, moderation tools, and 3rd-party apps. This is why many subs have gone private in protest.)
r/econpapers
comment
r/EconPapers
2023-07-06
Z0FBQUFBQm03SVg4cEp1NG9zNHNIOE9YNjU0M1FheGZCeGRjbll4ZkhwYzhBb1h3SU82TVF5TVZWTEZONXQwckhLb0FtSEFiamdCUmdlQTRMa3JUZG02S0VPeGRWZXdQaWc9PQ==
Z0FBQUFBQm03SVhVUzhxOUJtQ3AySGd5ek5sQjNrTkw2LV90UFptdDltd3d2cVdmV3JwS2tCeHlJejZLN0hFSmZBVTJlM21NX2tSMEdLWkpkM1NVdVo2VDFENndiMnc3RHUtMlBHaGJzb0Q0VF83TnNKUUlPVWowbEhzYnV3amdGam9FTUJtRDVscFNkVnBLUl9SNXpXRzgtX0RWNndNbEdNdHFwbEJSMEhfdUZWSDVySXlBdXc4eFBCWno0akZSaEdLaGJ1RDRaMHRK
r/deepmind
post
r/deepmind
2023-07-06
Z0FBQUFBQm03SVg4QTNWQmNpSGd2NzR3YWdMMXV6RnUycVlhRFpNdDVQemRZNDlvSDRHV1hGOGI1eDQ4YVh2TWNSTkFHRzkzTG1NSkpKZlBYLTl0UjM5aFpGQnZTZGtEOXhpVHR0cU5PZzNodnlBNkJMTVNLeDA9
Z0FBQUFBQm03SVhVbmZNSVM1QjVSXzFmdUF6djEzOEVFQXA1bFJHZnE0amVaWFdQNE5WYjVtczZDQ0JqNG1rRklBZEoyQ1U3UWREdzJxRldVTU9IbXlpTTJmdGZXWE9qeWxEakxEdTlZSUJodWJRTm01NGt2QnBNZjY5NlpoT2RyUHhaSFdldHc0cGM1T1ZfZkhlc3JMMU5YU0t2c19GQ1NtVFo2WHpJdy1kakFfY2tmYU1vX0tIYlBxQWVDa1VjNnhObEVaVkE5b01q
r/fakenews
post
r/fakenews
2023-07-06
Z0FBQUFBQm03SVg4XzhpSEMwZGlyYmZobjlNVURWWWtBUkNGaWt5amdsVTFoYW1lOTRGaDUzOFpjVUNqOThmdTJoUTNlV3psNGMyWm5YaEcyU0ktOGhmUVc2VUlDRkMteUE9PQ==
Z0FBQUFBQm03SVhVQ1FiY3RiZGFiWXYwa2FzVDBFZWZHMV8wN3p2aklSYldIVDlnQVZqb1NOcmRSckpHOXdFWHBjWWIyaEFBd2tIbnJDckZTblkyMkR0dHBRbGlMd1duWTQxZEtadHdBMTdIUDRwQkRJWlZlWVpTSEowX3NOMGp3aS1aNUJZZWpNUXRSVjJHRkdXSnJwOGRvY2MtZmd5WmRyTjctT0ZQRlFBY3VFUk90WGZ5TnZrVURkcHAwNjlEXzZhLVJheUgtcDlOclhJXzd6WnlyZ3k0aC1rYjVYYVV3Zz09
Basics of TensorFlow GradientTape [https://debuggercafe.com/basics-of-tensorflow-gradienttape/](https://debuggercafe.com/basics-of-tensorflow-gradienttape/) &#x200B; https://preview.redd.it/q91vx0r2vfab1.png?width=1000&format=png&auto=webp&s=abf7742b869cc36eda0023676d04b22036860c12
r/tensorflow
post
r/tensorflow
2023-07-07
Z0FBQUFBQm03SVg4Rno2Qm9KQkZ6N21kREM4ckVxSVRmci02Z1pFMWNMM0JlLVBNTmJZN1FrVlNnZmdVUmRyTlpoQ29rLW1BckZSbXBTVkZ6aWEtakpKUzRubmQyNjdUV3c9PQ==
Z0FBQUFBQm03SVhVZ0p0cXJVNWNvN1FJTnlqUFJIZTV2MkRqR3VtVXFUVmxuNUhQNndoaXJPWHdPUXFfQTU1ZFJoek1ZUUdhbEdnc1ViNjRiYnRyLXI3X3ozTnEzQlRwMVhhTGNadEpmWk5nYlJnQnVIclExZmV5Ri1EUlo0MTJKM0VsanJBWGFVR3YzWE9tRGVNV1ZNckVQWWozZTlpdmZjUXRfYkIwWEJCcVdFcmlITHRxcFFYTUoxaHpaZTNiWVo1d0JfM0Z5ZU5sOWtBSnpsdndJVk16ZThOVlZ5MDdVdz09