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Reinforcement Learning for Finance
- Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
Engelsk Paperback
Reinforcement Learning for Finance
- Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
Engelsk Paperback

387 kr
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6 - 8 hverdage

Om denne bog
This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library. Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, andloss functions. After completing this book, you will understand reinforcement learning with deep q and generative adversarial networks using the TensorFlow library. What You Will LearnUnderstand the fundamentals of reinforcement learningApply reinforcement learning programming techniques to solve quantitative-finance problemsGain insight into convolutional neural networks and recurrent neural networksUnderstand the Markov decision processWho This Book Is ForData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.
Product detaljer
Sprog:
Engelsk
Sider:
423
ISBN-13:
9781484288344
Indbinding:
Paperback
Udgave:
ISBN-10:
1484288343
Kategori:
Udg. Dato:
27 dec 2022
Længde:
32mm
Bredde:
157mm
Højde:
234mm
Forlag:
APress
Oplagsdato:
27 dec 2022
Forfatter(e):
Books from the same author
Kategori sammenhænge