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.
Format:Paperback
Language:English
ISBN:1009389432
ISBN13:9781009389433
Release Date:December 2023
Publisher:Cambridge University Press
Length:574 Pages
Weight:3.04 lbs.
Dimensions:1.0" x 8.0" x 9.8"
Recommended
Format: Paperback
Condition: New
$29.99
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