A simple e-book I've written as an easy introduction to the world of neural networks. After spending months and months of work trying to understand the mathematical complexities of the NN, I decided I would like to compile what I've learned into a book in the hopes that others will find the resource helpful and easy to follow.

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The book takes the reader through building two NNs to tackle the MNIST classification problem. It is a guide that accompanies the MNIST classifier code I've developed. 

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The book is divided into five parts: 

Part I: Installing the Basics

Part II: Defining the Problem Space

Part III: The Basics of Neural Networks

Part IV: Building a Simple Neural Network

Part V: Image Classification with CNNs

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The book includes simple explanations in plain English, and helpful graphics that I've designed to aid the reader in fully understanding difficult concepts.