num_pages: 167
description: There are many reasons why neural networks fascinate us and have captivated headlines in recent years. They make web searches better organize photos and are even used in speech translation. Heck they can even generate encryption. At the same time they are also mysterious and mind-bending: how exactly do they accomplish these things ? What goes on inside a neural network? On a high level a network learns just like we do through trial and error. This is true regardless if the network is supervised unsupervised or semi-supervised. Once we dig a bit deeper though we discover that a handful of mathematical functions play a major role in the trial and error process. It also becomes clear that a grasp of the underlying mathematics helps clarify how a network learns. In the following chapters we will unpack the mathematics that drive a neural network. To do this we will use a feedforward network as our model and follow input as it moves through the network.
language: None
title: The Math of Neural Networks
publisher: Blue Windmill Media