torch Gaussian random weights initialization and L2-normalization
I have a linear/fully-connected torch layer which accepts a latent_dim
-dimensional input. The number of neurons in this layer = height * width
:
I have a linear/fully-connected torch layer which accepts a latent_dim
-dimensional input. The number of neurons in this layer = height * width
: