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Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
book

Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library

by Samit Ahlawat
December 2022
Intermediate to advanced content levelIntermediate to advanced
435 pages
7h 29m
English
Apress
Content preview from Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
S. AhlawatReinforcement Learning for Financehttps://doi.org/10.1007/978-1-4842-8835-1_3

3. Convolutional Neural Networks

Samit Ahlawat1  
(1)
Irvington, NJ, USA
 

Convolutional neural networks (CNNs) are a category of neural networks that can be used to identify spatial patterns in a robust manner. They achieve this robustness by a parsimonious use of parameters and by systematic identification of simple patterns that are aggregated into complex specifications using subsequent layers. They are able to recognize features in a translation-invariant fashion. Their use in modern digital imaging technology is ubiquitous, with most cameras programmed to pick out faces ...

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Publisher Resources

ISBN: 9781484288351Purchase LinkPublisher Website