Overfitting may be the most frustrating issue of Machine Learning. In this article, we’re going to see what it is, how to spot it, and most importantly how to prevent it from happening.
Today, we’re gonna learn how to create a virtual agent that discovers how to interact with the world. The technique we’re going to use is called Q-Learning, and it’s super cool.
Autoencoders (AE) are a family of neural networks for which the input is the same as the output*. They work by compressing the input into a latent-spacerepresentation, and then reconstructing the output from this representation.