Practical MATLAB Deep Learning

A Projects-Based Approach

von Michael Paluszek, Stephanie Thomas, Eric Ham

329 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.

Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include:

Aircraft navigation

An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning

Stock market prediction

Natural language processing

Music creation usng generative deep learning

Plasma control

Earth sensor processing for spacecraft

MATLAB Bluetooth data acquisition applied to dance physics  

What You Will Learn

Explore deep learning using MATLAB and compare it to algorithms

Write a deep learning function in MATLAB and train it with examples

Use MATLAB toolboxes related to deep learning

Implement tokamak disruption prediction

Now includes reinforcement learning

Who This Book Is For  Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.

• Themen: Informatik und Informationstechnologie Computerprogrammierung und Softwareentwicklung Programmier- und Skriptsprachen, allgemein
• ISBN: 9781484279113
• Sprache: Englisch
• Erscheinungsdatum: 11.09.2022
• Größe: 25.4 x 17.8 cm
• Verlag: APRESS