Deep Learning

0. 开场白.dl

Contents

Chapter 1: Introduction

Chapter 1.1 Who should read this book?

Chapter 1.2.1 Changing Fortunes of Neural Networks

Chapter 1.2.2,3,4 Increasing Dataset Sizes

Part One: Applied Math and Machine Learning Basics

Chapter 2 Linear Algebra

Chapter 2.1 Scalars, Vectors, Matrices and Tensors

Chapter 2.3 Identity and Inverse Matrics