Neural Network Projects with Python

What this book covers

Chapter 1, Machine Learning and Neural Networks 101, covers the basics of machine learning and neural networks. The first chapter aims to solidify your understanding of machine learning and neural networks. To do that, we'll create our own neural network from scratch in Python, without any machine learning libraries.

Chapter 2, Predicting Diabetes with Multilayer Perceptrons, kick-starts our first neural network project. Using a basic neural network known as a multilayer perceptron, we'll build a classifier that can predict whether a patient is at risk of diabetes.

Chapter 3, Predicting Taxi Fares with Deep Feedforward Nets, makes use of a deep feedforward neural network in a regression problem. In particular, we'll ...