Dive into Deep Learning

by Aston Zhang, Zachary C. Lipton, Mu Li

Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required―every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice.

Genres: Artificial Intelligence, Computer Science, Technical

574 pages, Paperback

Published December 7, 2023

Reviews

[Jing · Rating 5 out of 5]

Very well organized course and written book. Very human.

Must listen: QA part.

Attention is not free and all you need.

[Mingyuan Zhang · Rating 5 out of 5]

Quality of different chapters are different, as they are written by different people. Every author is clearly expert on their respective field, but it was clear that the effort they put into the writing was quite different.