Transformers, Deep Learning, Voice Ai, Neural Networks, Artificial Intelligence.
]) # Training loop for GAN def train_gan(generator, discriminator, dataset, epochs): for epoch in range(epochs): for image_batch in dataset: noise = tf.random.normal([BATCH_SIZE, 100]) with tf.GradientTape() as gen_tape, tf.GradientTape() as disc_tape: generated_images = generator(noise,