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.
Have you ever found yourself eating, with no free hands to change the volume of your movie? Or the brightness of the screen? We’ll see how to use state-of-the-art artificial intelligence techniques to solve this problem by sending commands your computer with eye movements!
