Practical MATLAB Deep Learning: A Projects-Based Approach

Practical MATLAB Deep Learning, Second Edition, is a book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. It includes new and expanded projects and covers generative deep learning and reinforcement learning. It teaches how to model complex systems and apply deep learning to problems in various areas, such as aircraft navigation, stock market prediction, natural language processing, music creation, plasma control, and Earth sensor processing for spacecraft.

Format: Paperback / softback
Length: 329 pages
Publication date: 25 July 2022
Publisher: APress

Harness the incredible power of MATLAB for tackling complex deep-learning challenges!

Practical MATLAB Deep Learning, Second Edition, stands as a unique and invaluable resource for beginners embarking on the exciting journey of deep learning and utilizing MATLAB's powerful deep-learning toolboxes. In this comprehensive guide, you'll discover how these toolboxes offer a comprehensive set of functions, enabling you to implement every aspect of deep learning seamlessly.

This edition is packed with new and expanded projects, covering both generative deep learning and reinforcement learning. Throughout the book, you'll gain practical skills in modeling complex systems and applying deep learning to solve real-world problems across diverse domains. Some exciting applications you'll explore include:

Aircraft Navigation: Use reinforcement learning to enable an aircraft to land safely on Saturn's moon, Titan.

Stock Market Prediction: Predict stock market trends with accuracy using deep learning algorithms.

Natural Language Processing: Understand and analyze human language using deep neural networks.

Music Creation: Explore generative deep learning to create unique and captivating music compositions.

Plasma Control: Implement deep learning techniques to optimize plasma behavior in scientific research.

Earth Sensor Processing for Spacecraft: Process Earth sensor data for spacecraft navigation and exploration.

MATLAB Bluetooth Data Acquisition Applied to Dance Physics: Utilize MATLAB Bluetooth data acquisition for dance motion analysis and performance enhancement.

What You'll Gain:

Explore deep learning concepts and compare them with traditional algorithms.

Write your own deep learning functions in MATLAB and train them with practical examples.

Utilize MATLAB's deep-learning toolboxes to streamline your workflow.

Implement state-of-the-art deep learning techniques, such as tokamak disruption prediction.

Now, with the inclusion of reinforcement learning, you'll expand your capabilities even further.

Who This Book Is For:
Engineers, data scientists, and students seeking a comprehensive and hands-on guide to deep learning using MATLAB. Whether you're a beginner or an experienced practitioner, this book will provide you with the knowledge and tools you need to succeed in this rapidly evolving field.

So, embark on this transformative journey and unlock the full potential of MATLAB for deep-learning applications. Get your copy of Practical MATLAB Deep Learning, Second Edition, today and embark on an exciting adventure into the world of artificial intelligence!

Weight: 669g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484279113
Edition number: 2nd ed.