Hi Naresh,
Really appreciate you taking the time to make the AAE tutorial. It is a great read!
I have a question regarding the implementation of generator_optimizer in the code. When I print en_var, I get the following list of variables
e_dense_1/weights:0
e_dense_1/bias:0
e_dense_2/weights:0
e_dense_2/bias:0
e_latent_variable/weights:0
e_latent_variable/bias:0
d_dense_1/weights:0
d_dense_1/bias:0
d_dense_2/weights:0
d_dense_2/bias:0
In your post, you mention that:
We’ll backprop only through the encoder weights, which causes the encoder to learn the required distribution and produce output which’ll have that distribution.
Do the decoder weights get updated as well?
Hi Naresh,
Really appreciate you taking the time to make the AAE tutorial. It is a great read!
I have a question regarding the implementation of generator_optimizer in the code. When I print en_var, I get the following list of variables
In your post, you mention that:
Do the decoder weights get updated as well?