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Add TF2 versions of TF sample models (#225)
* move tf sample models into tf1 and tf2 folders * add tf2 versions of sample models * remove unused file * update README * update yolov3
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‎TensorFlow/.gitignore

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/squeezenet/data
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TF1/squeezenet/data
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.vscode
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__pycache__
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traces/
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!/op_report/data/traces
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*.xlsx
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*.xlsx
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saved_models/

‎TensorFlow/README.md

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‎TensorFlow/VisionTransformer/MHA.py renamed to ‎TensorFlow/TF1/VisionTransformer/MHA.py

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‎TensorFlow/VisionTransformer/README.md renamed to ‎TensorFlow/TF1/VisionTransformer/README.md

‎TensorFlow/VisionTransformer/ViT_Training_Intel_HD_Graphics_Card.PNG renamed to ‎TensorFlow/TF1/VisionTransformer/ViT_Training_Intel_HD_Graphics_Card.PNG

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‎TensorFlow/VisionTransformer/data_augmentations.py renamed to ‎TensorFlow/TF1/VisionTransformer/data_augmentations.py

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‎TensorFlow/VisionTransformer/model.py renamed to ‎TensorFlow/TF1/VisionTransformer/model.py

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‎TensorFlow/VisionTransformer/requirements.txt renamed to ‎TensorFlow/TF1/VisionTransformer/requirements.txt

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‎TensorFlow/VisionTransformer/train_cifar10.py renamed to ‎TensorFlow/TF1/VisionTransformer/train_cifar10.py

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file_path= './saved_models/Model_Cifar100'
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file_path= './saved_models/Model_Cifar10'
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checkpoint = ModelCheckpoint(file_path, monitor='val_Top-1-accuracy', verbose=1, save_best_only=True, mode='max')
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reduce_on_plateau = ReduceLROnPlateau(monitor="val_Top-1-accuracy", mode="max", factor=0.5, patience=PATIENCE, verbose=1,min_lr=0.00002)
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callbacks_list = [checkpoint, reduce_on_plateau]

‎TensorFlow/VisionTransformer/train_cifar100.py renamed to ‎TensorFlow/TF1/VisionTransformer/train_cifar100.py

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