We have accomplished a lot in this book. Let's do a quick recap of the projects that we have built in each chapter, as well as the neural network architecture enabling them. This section also serves as a quick refresher for the key neural network concepts that we have covered in this book.
Putting it all together
Machine Learning and Neural Networks 101
In Chapter 1, Machine Learning and Neural Networks 101, we started off by building the simplest, one-layer neural network, known as the perceptron. At its core, the perceptron is simply a mathematical function that takes in a set of input, performs some mathematical computation, and outputs the result of the computation. For the perceptron, the mathematical computation...
