Write a function to create gradient descent updates for a generative adversarial network in TensorFlow

Question

With the help of Python programming, you can write a function to create gradient descent updates for a generative adversarial network in TensorFlow.

Answer 1

The function to create gradient descent updates for a generative adversarial network in TensorFlow is given below: 

In the code, we are using Loss Functions, which use binary cross-entropy for both generator and discriminator losses. Gradient Calculation uses tf.GradientTape() computes gradients for both models and Optimizers, and separate optimizers are applied to the generator and discriminator.

Hence, this encapsulates the core of GAN training in TensorFlow.