Practical MATLAB Deep Learning

English, Eric Ham, Michael Paluszek, Stephanie Thomas, 2022
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Practical MATLAB Deep Learning, Second Edition, is a comprehensive technical book that addresses the challenges of deep learning using MATLAB. It provides a solid introduction to the concepts of deep learning and the application of the corresponding MATLAB toolboxes. This edition includes new and expanded projects and covers both generative deep learning and reinforcement learning. Readers will be empowered to model complex systems and apply deep learning to various areas, including aircraft navigation, stock market prediction, and natural language processing. The book is aimed at engineers, data scientists, and students interested in practical examples and exploring the capabilities of MATLAB in the field of deep learning.

Key specifications

topic
Mathematics & Natural Sciences
Subtopic
Computer science
Language
English
Author
Eric Ham, Michael Paluszek, Stephanie Thomas
Year
2022
Book cover
Paperback

General information

Item number
56216112
Publisher
Springer
Category
Reference books
Release date
11.3.2025

Book properties

topic
Mathematics & Natural Sciences
Subtopic
Computer science
Language
English
Author
Eric Ham, Michael Paluszek, Stephanie Thomas
Year
2022
Book cover
Paperback

Voluntary climate contribution

CO₂ emissions
0.5 kg
Climate contribution
CHF 0.11

30-day right of return if unopened
No warranty

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