English | May 7, 2018 | ASIN: B07CXVNPJT | 62 pages | AZW3 | 1.67 MB

This book on neural networks will provide you with an excellent overview of the domain of deep learning neural networks. You will gain an understanding of the conception of neural networks and how biological and artificial neural networks differ from each other. You'll learn about artificial neural networks and understand how neural networks function in general. Finally, you'll learn how to teach your networks.

To understand this book, you'll need to understand some preliminary mathematical concepts.

This book contains illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning.

Benefits of reading this book that you're not going to find anywhere else:

INTRODUCTION TO NEURAL NETWORKS

STRUCTURES OF NEURAL NETWORKS

BUILDING A NEURAL NETWORK

THE CONSTRUCTION OF ARTIFICIAL NEURONS

THE BIOLOGICAL NEURONS MODEL

HOW THEY WORK

THE CAPABILITIES OF NEURAL NETWORK STRUCTURE

TEACHING YOUR NETWORKS

METHODS OF GATHERING INFORMATION

ORGANIZING YOUR NETWORK

USAGE OF MOMENTUM

USING NEURAL NETWORKS

USING NEURAL NETWORKS IN A PRACTICAL WAY

THE CAPACITY OF A SINGLE NEURON