Machine Learning, Generative Adversarial, Deep Learning, Azure.
have a true training data set in order to confirm authenticity of other data points. The final result is a data set that has very similar, while not being exactly the same, characteristics to the training data set. 3. How can you remember how GANs work? The best way to remember this, is to imagine