Entries by Daniel Godoy

Hyper-parameters in Action! Introducing DeepReplay

Photo by Immo Wegmann on Unsplash Originally posted on Towards Data Science. Introduction In my previous post, I invited you to wonder what exactly is going on under the hood when you train a neural network. Then I investigated the role of activation functions, illustrating the effect they have on the feature space using plots and […]

Hyper-parameters in Action! Activation Functions

Introduction This is the first of a series of posts aiming at presenting visually, in a clear and concise way, some of the fundamental moving parts of training a neural network: the hyper-parameters. Originally posted on Towards Data Science. Motivation Deep Learning is all about hyper-parameters! Maybe this is an exaggeration, but having a sound […]