ShuffleNet-tensorflow
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A ShuffleNet implementation tested on Tiny ImageNet dataset
hello, As mentioned layers for different architecture in this website https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html is there any know layer for shufflenet v2???
When I run image_dataset_to_tfrecords.py ,it Report errors"KeyError: 'training\\n01443537'" I have no idea why,Does anyone know why?
Hi, after training the model using train.py, it generates checkpoint, model.data , model.index and model.meta. May i know how can i convert those into a graph.pb?
when I use prediction_utils.py to predict one picture , the resulte always same value , no mater which images I slect, and my code is this, why? def predict_proba(graph, ops,...
I want to run the model in android system. how to generate .pb file?
Sir, I saw that you only split the channels and implement group convolution. Shufflenet needs random shuffling the channels. But I can't find that. Would you mind helping me for...