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Most changes come from following best practices and API changes, but I do have the folowing doubt: Why is z_log_var multiplied by 0.5 in the 2nd edition class? Is it because a difference between tf.exp() and tf.keras.backend.exp()? Is it becasue reducing it by half yields better results? Any other reason?
The text was updated successfully, but these errors were encountered:
In the 2nd edition notebook of chapter 12 part 4, the latent space sampling layer is defined as the following class:
In the 1st edition, it's defined as the following fucntion:
Most changes come from following best practices and API changes, but I do have the folowing doubt: Why is
z_log_var
multiplied by 0.5 in the 2nd edition class? Is it because a difference between tf.exp() and tf.keras.backend.exp()? Is it becasue reducing it by half yields better results? Any other reason?The text was updated successfully, but these errors were encountered: