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language: |
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- en |
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pipeline_tag: image-classification |
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--- |
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# Simple Object Detection App |
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Convolution Network trained with CIFER-10 data set. |
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- Accuracy: 0.7875 |
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- Loss: 0.6094 |
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Model: "sequential" |
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| Layer (type) | Output Shape | Param # | |
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|-----------------------------|--------------------|-----------| |
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| conv2d (Conv2D) | (None, 30, 30, 32) | 896 | |
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| max_pooling2d (MaxPooling2D) | (None, 15, 15, 32) | 0 | |
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| conv2d_1 (Conv2D) | (None, 13, 13, 64) | 18,496 | |
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| max_pooling2d_1 (MaxPooling2D) | (None, 6, 6, 64) | 0 | |
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| flatten (Flatten) | (None, 2304) | 0 | |
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| dense (Dense) | (None, 64) | 147,520 | |
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| dense_1 (Dense) | (None, 10) | 650 | |
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Total params: 502,688 (1.92 MB) |
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Trainable params: 167,562 (654.54 KB) |
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Non-trainable params: 0 (0.00 B) |
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Optimizer params: 335,126 (1.28 MB) |
