Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
Generate a batch of synthetic data noise = np.random.normal(0, 1, (batch_size, input_dim)) synthetic_data = generator.predict(noise) # Denormalize the synthetic data synthetic_data = synthetic_data * (max_val - min_val) + min_val # Train the discriminator d_loss_real =