کتاب یادگیری عمیق کاربردی با TensorFlow 2: یادگیری پیاده‌سازی تکنیک‌های پیشرفته یادگیری عمیق با پایتون، ویرایش دوم

Understand how neural networks work and learn how to implement themusing TensorFlow 2.0 and Keras. This new edition focuses on thefundamental concepts and at the same time on practical aspects ofimplementing neural networks and deep learning for your researchprojects.This book is designed so that you can focus on the parts you areinterested in. You will explore topics as regularization, optimizers,optimization, metric analysis, and hyper-parameter tuning. In addition,you will learn the fundamentals ideas behind autoencoders and generativeadversarial networks.All the code presented in the book will be available in the form ofJupyter notebooks which would allow you to try out all examples andextend them in interesting ways. A companion online book is availablewith the complete code for all examples discussed in the book andadditional material more related to TensorFlow and Keras. All the codewill be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally.You will:• Understand the fundamental concepts of how neural networks work• Learn the fundamental ideas behind autoencoders and generative adversarial networks• Be able to try all the examples with complete code examples that you can expand for your own projects• Have available a complete online companion book with examples and tutorials.