Download the fantastic book titled Practical MATLAB Deep Learning written by Michael Paluszek, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Practical MATLAB Deep Learning", which was released on 07 February 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Practical MATLAB Deep Learning by Michael Paluszek PDF
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 learning. Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll also apply deep learning to aircraft navigation using images. Finally, you'll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB's hardware capabilities. What You Will LearnExplore deep learning using MATLAB and compare it to algorithmsWrite a deep learning function in MATLAB and train it with examplesUse MATLAB toolboxes related to deep learningImplement tokamak disruption predictionWho This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
Detail About Practical MATLAB Deep Learning PDF
- Author : Michael Paluszek
- Publisher : Apress
- Genre : Computers
- Total Pages : 260 pages
- ISBN : 1484251245
- Release Date : 07 February 2020
- PDF File Size : 49,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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