Today, Ravi and I are using Python and the keras library to explore generative Adversarial networks. This was a head scratcher for sure. Since it was the first time we had played around with generative adversarial networks there were a number of hard concepts we waddled through. We are going through https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-1-dimensional-function-from-scratch-in-keras/
Jason Brownlee (the author of the post) has a whole book on using GANs, so check that out too if you are interested. We will be using the environment we created in the first Data Science Club video, so if you haven't already, do that one first! Please Like and Subscribe if you would like to get these videos as we release them. Feel free to ask any questions here or in office hours
