January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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The architecture of the Age-cGAN
The architecture of a cGAN for face aging is slightly more complicated. The Age-cGan consists of four networks: an encoder, the FaceNet, a generator network, and a discriminator network. With the encoder, we learn the inverse mapping of input face images and the age condition with the latent vector 
. FaceNet is a face recognition network that learns the difference between an input image x and a reconstructed image 
. We have a generator network, which takes a hidden representation consisting of a face image and ...
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