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<tspan x="0" class="boxHeading">Select Framework, Use Case, Dataset & Model</tspan> | |
<tspan x="0" dy="1.6em" class="boxBody"><tspan class="medium">Framework</tspan> : TensorFlow, PyTorch</tspan> | |
<tspan x="0" dy="1.3em" class="boxBody"><tspan class="medium">Use Case</tspan> : Image Classification, Text Classification</tspan> | |
<tspan x="0" dy="1.3em" class="boxBody"><tspan class="medium">Dataset</tspan> : Public catalog (TF Hub, Torchvision, Hugging face), or Custom</tspan> | |
<tspan x="0" dy="1.3em" class="boxBody"><tspan class="medium">Model</tspan> : EfficientNet, InceptionV3, MobileNetV2, ResNet, BERT…</tspan> | |
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<tspan x="0" class="boxHeading">Pre-Process & Split Dataset</tspan> | |
<tspan x="0" dy="1.6em" class="boxBody">Resize, Batch, Split Train/Val, Augmentation</tspan> | |
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<tspan x="0" class="boxHeading">Train</tspan> | |
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<tspan x="0" class="boxHeading">Evaluate & Predict</tspan> | |
<tspan x="0" dy="1.6em" class="boxBody">Evaluation, Prediction, Benchmarking</tspan> | |
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<tspan x="0" class="boxHeading">Optimize</tspan> | |
<tspan x="0" dy="1.6em" class="boxBody">Quantization or FP32 Graph Optimization</tspan> | |
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