Practical MATLAB deep learning : a projects-based approach / Michael Paluszek, Stephanie Thomas and Eric Ham.
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 complet...
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Full Text (via O'Reilly/Safari) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Apress,
[2022]
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| Edition: | Second edition. |
| Series: | ITpro collection
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| Subjects: |
Table of Contents:
- What Is Deep Learning?
- MATLAB Machine learning toolboxes
- Findining circles with deep learning
- Classifying movies
- Algorithmic deep learning
- Tokamak disruption detection
- Classifying a pirouette
- Completing sentences
- Terrain-based navigation
- Stock prediction
- Image classification
- Orbit determination
- Earth sensors
- Generative modeling of music
- Reinforcement learning.