Book description
- 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
Table of contents
- Cover
- Frontmatter
- 1. What Is Deep Learning?
- 2. MATLAB Machine 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
- Backmatter
Product information
- Title: Practical MATLAB Deep Learning: A Project-Based Approach
- Author(s):
- Release date: February 2020
- Publisher(s): Apress
- ISBN: 9781484251249
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