Variational Autoencoders Explained

In my previous post about generative adversial networks, I went over a simple method to training a network that could generate realistic-looking images. However, there were »

Making use of the model

What really is a model? In short, it's an agent's understanding of the surrounding environment. In Markov processes, a model can be represented as probabilities of »

The Policy Gradient

So far, our policy has simply been to act greedily on some value function. What if we tried to learn the policy itself? We can represent »

Neural Style Explained

The paper A Neural Algorithm of Artistic Style detailed on how to extract two sets of features from a given image: the content, and and the »