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, yoüll 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.Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include:Aircraft navigationAn aircraft that lands on Titan, the moon of Saturn, using reinforcement learningStock market predictionNatural language processingMusic creation usng generative deep learningPlasma controlEarth sensor processing for spacecraftMATLAB Bluetooth data acquisition applied to dance physics

Utilizes real world examples in MATLAB for major applications of deep learning and AI

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.