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Practical MATLAB Deep Learning
ISBN-13:
9781484279120
Veröffentl:
2022
Seiten:
329
Autor:
Michael Paluszek
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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 complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.
1. What is deep learning?.- 2. MATLAB Toolboxes.- 3. Finding Circles.- 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.- 13. Earth Sensors.- 14. Generative Modeling of Music.- 15. Reinforcement Learning.- Bibliography.
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