Deep Learning: Fundamentals of Deep Learning for Beginners (Artificial Intelligence Book 3)
Deep Learning: Fundamentals of Deep Learning for Beginners (Artificial Intelligence Book 3) by Rudolph Russell
English | 1 Jul. 2018 | ASIN: B07F6BCL31 | 73 Pages | EPUB | 649.13 KB
English | 1 Jul. 2018 | ASIN: B07F6BCL31 | 73 Pages | EPUB | 649.13 KB
This book is for anyone who wants to learn deep learning from a mathematical perspective. In the first chapter you will get an introduction to the deep learning concepts, then in the second chapter you will understand and review some of the mathematical equations that will help you understand deep learning. After that, we will go delve further into the deep learning architectures, and after every chapter you will find review questions just to reinforce your understanding of the content. When reading this book, it’s preferable to know any programming language, such as Python or R, and the basics of linear algebra.
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 DEEP LEARNING
MATHEMATICS FOR DEEP LEARNING
SINGLE AND MULTILAYER PERCEPTRON MODELS
AUTOENCODERS, RESTRICTED BOLTZMANN MACHINES
EXPERIMENTAL DESIGN AND HEURISTICS