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According to your definition of general_deconv2d(), the default activation is linear. When defining the decoder, you don't add Relu units after the deconv layers. Only the last layer has a non-linearity (tanh). Is this the intended behavior? What am I missing?
According to your definition of general_deconv2d(), the default activation is linear. When defining the decoder, you don't add Relu units after the deconv layers. Only the last layer has a non-linearity (tanh). Is this the intended behavior? What am I missing?
Fader-Networks-Tensorflow/main.py
Line 171 in 22cc9bd
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