Dive into Deep Learning

Deep learning has revolutionized pattern recognition, and this book is a comprehensive resource that makes it approachable, with runnable code and a refresher on mathematics needed. No previous background is required.

Format: Paperback / softback
Length: 574 pages
Publication date: 07 December 2023
Publisher: Cambridge University Press

Deep learning has brought about a transformative shift in the realm of pattern recognition, empowering a wide array of technologies across diverse fields such as computer vision, natural language processing, and automatic speech recognition. Embracing deep learning necessitates a comprehensive understanding of problem-solving, fundamental mathematical principles of modeling, algorithms for model fitting to data, and engineering techniques to bring these elements together. This book serves as an invaluable resource, making deep learning accessible while offering sufficient technical depth to enable engineers, scientists, and students to incorporate it into their own work. No prior background in machine learning or deep learning is necessary, as every concept is explained from scratch, and the appendix provides a refresher on the mathematics required. Throughout the book, runnable code is featured, allowing readers to develop their intuition by applying key ideas in practical scenarios.

Weight: 1378g
Dimension: 202 x 254 x 26 (mm)
ISBN-13: 9781009389433