Data Science Asked by thanatoz on June 10, 2021
I was going through GAN’s notebook by fchallot on Generative Adversarial Networks where, in the Generator Network, he creates a Dense
layer with $16*16 * 128$ (where 128 is the number of channels).
How exactly does latent_dim=32
becomes of shape $16 * 16$ in the network.
How are these values decided?
x = layers.Dense(128 * 16 * 16)(generator_input)
mean: The input of size 32 (the latent_dim) is connected to a layer of size 16*16*128
Answered by vico on June 10, 2021
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