I am following this tutorial Deep Convolutional Generative Adversarial Network | TensorFlow Core While I know what the bias is but I don’t know why it is turned off for the generator in the tutorial and there is no explaination for it. Does it have any performance and/or accuracy impact?
I have tried removing the setting use_bias=False and it makes no noticeable difference to me at all… Puzzled.
Hi @khteh, In the code, Batch normalization is using. BatchNormalization has its own parameters. So, when we are using conv2d followed by dense or batch normalization then the bias should be fasle.
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Any official documentation on your comment?