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Practical MATLAB Deep Learning: A Project-Based Approach
Author Stephanie Thomas , Michael Paluszek
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep l....
Release Date 2020/02 -
MATLAB Machine Learning Recipes: A Problem-Solution Approach
Author Stephanie Thomas , Michael Paluszek
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Probl....
Release Date 2019/01 -
Author Stephanie Thomas , Michael Paluszek
This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all ....
Release Date 2016/12 -
MATLAB Recipes: A Problem-Solution Approach
Author Stephanie Thomas , Michael Paluszek
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. This is a practical reference for industry engineers using MATLAB to solve everyday problems. With MATLAB Recipes: A Problem-Solution Approach....
Release Date 2015/11