Generative Adversarial Networks Projects

Creating and compiling an adversarial network

The adversarial network is a combined network. It uses all four networks in a single Keras model. The main purpose of creating an adversarial network is to train the generator networks. When we train the adversarial network, it only trains the generator networks, but freezes the training of the discriminator networks. Let's create an adversarial model with the desired functionality.

1. Start by creating two input layers to the network, as follows:

inputA = Input(shape=(128, 128, 3))inputB = Input(shape=(128, 128, 3))

Both inputs will take images of a dimension of (128, 128, 3). These are symbolic input variables and don't hold actual values. They are used to create a Keras model (TensorFlow graph). ...