resnet-18-tensorflow
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dalgu90
ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt
Hello, Thank you for your contribution, I really appreciate it. According to your code, you normalized input using mean and std of the imagenet as, imagenet_mean = np.array([0.485, 0.456, 0.406],...
Hi, nice work. I was using the train.py to train the model using the imagenet weights. NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due...
Hello, I am new and trying to train a resnet18 model with your code using my custom dataset (8 classes). I made changes in a config file (train_scratch.sh). And I...
As is shown in common resnet-N models，if output channels > input channels，the shortcut should be a layer with Batch Normalization. However, as is shown in the programs provided, the Batch...
I would like to train this model using NVIDIA's DIGITS, and in order to do this I need to load the pre-trained model into DIGITS with a) its weights (`resnet-18.t7`)...
Hi, @dalgu90 Thanks for your wonderful work! Could you share your fine-tuned model based on the transferred model? I have no devices to fine-tune the model on ImageNet, but I...
