Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
network are updated so that to decrease this error (error gradient descent over the discriminator’s parameters). Generative Adversarial Networks representation. The generator takes simple random variables as inputs and generate new data. The discriminator takes “true” and “generated” data and try