how to adapt gan_cifar_resnet.py to Resnet101 Implementation

[wangguanan]

Thanks for the author's wonderful theory analysis and beautiful model implementation. I have 3 questions about Improved WGAN model with resnet 101 discriminator.

Firstly, according to my understanding， implementation of improved wgan model in file adapt gan_cifar_resnet.py took of actually discriminator resnet of 14 layers( 4 residual blocks 3 = 12 layers, input layers and output layers), generator renset of 15 layers(3 residual blocks 3 = 9 layers, input layer , one conv layer and output layer). Is there any error about on my understanding?

Secondly, if my understanding is right, how can i modify the model to one with resnet101 discriminator?

Thirdly, is there any difference between implementation of your resnet and tensorflow.contrib.slim.nets.resnet_v1? Can i replace your resnet with tensorflow.contrib.slim.nets.resnet_v1 or others?

Thanks !

[igul222]

The CIFAR10 model which got the best results was a resnet, but not 101-resnet. We trained 101-resnet on bedrooms (see gan_64x64.py) to demonstrate that it worked, but we never expected that model to produce particularly great samples -- it's probably too deep and has too many bottleneck layers for that.

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From: wangguanan notifications@github.com Sent: Friday, August 11, 2017 11:26:32 PM To: igul222/improved_wgan_training Cc: Subscribed Subject: [igul222/improved_wgan_training] how to adapt gan_cifar_resnet.py to Resnet101 Implementation (#42)

Thanks for the author's wonderful theory and model, and I have 3 questions about Improved WGAN model with resnet 101 discriminator: Firstly, according to my understanding， your implementation of WGAN model in file adapt gan_cifar_resnet.py took of actually discriminator resnet of 14 layers( 4 residual blocks 3 = 12 layers, input layers and output layers), generator renset of 15 layers(3 residual blocks 3 = 9 layers, input layer , one conv layer and output layer). Is there any error about on my understanding? [image]https://user-images.githubusercontent.com/18496599/29239527-18e371c4-7f83-11e7-91e2-2e69fb27b53b.png

[image]https://user-images.githubusercontent.com/18496599/29239461-c6c60420-7f81-11e7-9f4b-f78fe565ad1a.png

Secondly, if my understanding is right, how can i modify the model to one with resnet101 discriminator?

Thanks !

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[wangguanan]

Thanks!