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Practical MATLAB Deep Learning : A Project-Based Approach / by Michael Paluszek, Stephanie Thomas.
- Format:
- Book
- Author/Creator:
- Paluszek, Michael, Author.
- Thomas, Stephanie, Author.
- Language:
- English
- Subjects (All):
- MATLAB.
- Programming languages (Electronic computers).
- Artificial intelligence.
- Computer input-output equipment.
- Computer science—Mathematics.
- Computer programming.
- Programming Languages, Compilers, Interpreters.
- Artificial Intelligence.
- Hardware and Maker.
- Mathematics of Computing.
- Programming Techniques.
- Local Subjects:
- Programming Languages, Compilers, Interpreters.
- Artificial Intelligence.
- Hardware and Maker.
- Mathematics of Computing.
- Programming Techniques.
- Physical Description:
- 1 online resource (XV, 252 p. 111 illus., 100 illus. in color.)
- Edition:
- 1st ed. 2020.
- Place of Publication:
- Berkeley, CA : Apress : Imprint: Apress, 2020.
- System Details:
- text file
- Summary:
- 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. You will: 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.
- Contents:
- 1 What is Deep Learning?
- 2 MATLAB Machine and Deep Learning Toolboxes
- 3 Finding Circles with Deep Learning
- 4 Classifying Movies
- 5 Algorithmic Deep Learning
- 6 Tokamak Disruption Detection
- 7 Classifying a Pirouette
- 8 Completing Sentences
- 9 Terrain Based Navigation
- 10 Stock Prediction
- 11 Image Classification
- 12 Orbit Determination.
- Notes:
- Includes bibliographical references.
- ISBN:
- 9781484251249
- 1484251245
- OCLC:
- 1176246108
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