Generative Adversarial Networks Projects

Latent vector optimization

In the preceding two steps, we successfully trained the generator network, the discriminator network, and the encoder network. In this section, we will improve the encoder and the generator networks. In these steps, we will be using the face recognition (FR) network, which generates a 128-dimensional embedding of a particular input fed to it, to improve the generator and the encoder network.  

Perform the following steps:

1. Start by building and loading the weights for the encoder network and the generator network:

encoder = build_encoder()encoder.load_weights("encoder.h5")# Load the generator networkgenerator.load_weights("generator.h5")

2. Next, create a network to resize the images from a shape of (64, 64, 3)