Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
a whole at the end. Also, notice that we have set the discriminator not to be trainable, this is a very common thing people forget when constructing GANs! The reason this is so important is that you cannot train both networks at once, it is like trying to calibrate something with multiple variables