Quote: “One of our assigned projects was to implement and train a Wasserstein GAN in TensorFlow. At this point, I had taken only an introductory statistics cla

Quote: “One of our assigned projects was to implement and train a Wasserstein GAN in TensorFlow. At this point, I had taken only an introductory statistics class that was a required general elective, and then promptly forgotten most of it. Needless to say, my statistical skills were not very strong. Yet, I was able to read and understand a paper on a state-of-the-art generative machine learning model...Yet, if you had asked me, or most of the students in that class, how to calculate the variance of a population, or to define marginal probability, you likely would have gotten blank stares. ” I agree that the GAN might be implementable without much stats knowledge, but I would be very surprised if someone who did not know population variances and marginal probabilities would be able to follow the Wasserstein GAN paper. Just see for yourself: https://arxiv.org/abs/1701.07875 https://arxiv.org/abs/1701.07875