Generative Adversarial Networks Projects

Creating models

Let's create models using the methods in the previous Stage-I StackGAN section under A Keras Implementation of StackGAN. We will use four models: a generator model, a discriminator model, a compressor model that compresses the text embedding, and an adversarial model containing both the generator and discriminator:

1. Start by defining the optimizers required for the training:

dis_optimizer = Adam(lr=stage1_discriminator_lr, beta_1=0.5, beta_2=0.999)gen_optimizer = Adam(lr=stage1_generator_lr, beta_1=0.5, beta_2=0.999)

2. Then build and compile different networks as follows:

ca_model = build_ca_model()ca_model.compile(loss="binary_crossentropy", optimizer="adam")stage1_dis = build_stage1_discriminator()stage1_dis.compile(loss ...