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Residual Networks, or ResNets, learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. Instead of hoping each few stacked layers directly fit a desired underlying mapping, residual nets let these layers fit a residual mapping.
pip3 install absl-py git+https://github.com/NVIDIA/dllogger#egg=dllogger
Downloading and converting to TFRecord format or here make a file named imagenet_tfrecord, and store imagenet datasest convert to imagenet_tfrecord
bash run_train_resnet50_imagenette.sh
bash run_train_resnet50_multigpu_imagenette.sh
acc | fps | |
---|---|---|
multi_card | 0.9860 | 236.9 |
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