Book Description
If you wish to solve your complex computational problem efficiently, neural networks come to the rescue. This book will teach you how to ace neural networks and solve your computational problems with Python—right from predicting to self-learning models—with ease. We start off with neural network design, then you’ll build a solid foundational knowledge of how a neural network learns from data, and the principles behind it.
This book cover various types of neural networks including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but also see a generalization of these networks. With the help of practical examples and real-world use cases, you will learn to implement these neural networks in your applications.
