دانلود کتاب آموزش پیاده سازی تکنیک های پیشرفته یادگیری عمیق با TensorFlow 2 در پایتون

Introduction

This is the second edition of Applied Deep Learning and it has been updated for TensorFlow 2.X and expanded to cover additional advanced material, such as autoencoders and generative adversarial networks (GANs). The goal of this book is to teach you the necessary fundamentals of how neural networks work, how to train them, and how to implement them with Keras. We start by discussing what a neuron is and what you can achieve with just one, then move to multiple layers in feed-forward neural networks.