Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
classify between real and fake data samples. Next, we generate a batch of noise vectors and train the generator to generate synthetic data samples that fool the discriminator. The training progress is printed after each epoch, showing the discriminator loss and the generator loss. Now, let’s train