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Hands-On Neural Networks with Keras

You're reading from   Hands-On Neural Networks with Keras Design and create neural networks using deep learning and artificial intelligence principles

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789536089
Length 462 pages
Edition 1st Edition
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Author (1):
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Niloy Purkait Niloy Purkait
Author Profile Icon Niloy Purkait
Niloy Purkait
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Fundamentals of Neural Networks FREE CHAPTER
2. Overview of Neural Networks 3. A Deeper Dive into Neural Networks 4. Signal Processing - Data Analysis with Neural Networks 5. Section 2: Advanced Neural Network Architectures
6. Convolutional Neural Networks 7. Recurrent Neural Networks 8. Long Short-Term Memory Networks 9. Reinforcement Learning with Deep Q-Networks 10. Section 3: Hybrid Model Architecture
11. Autoencoders 12. Generative Networks 13. Section 4: Road Ahead
14. Contemplating Present and Future Developments 15. Other Books You May Enjoy

The explore-exploit dilemma

Let's assume that our agent even manages to figure out a consistent strategy that delivers rewards. What's next? Should they simply stick to that same strategy, generating the same reward for eternity? Or rather should they keep trying new things all the time? Perhaps, by not exploiting a known strategy, the agent can have a chance at a much bigger reward in the future? This is known as the explore-exploit dilemma, referring to the degree to which agents should explore new strategies or exploit known strategies.

At the extreme, we can better appreciate the explore-exploit dilemma by understanding how it can be detrimental to rely on known strategies for immediate reward in the long run. Experiments with rats, for example, have shown that these animals will starve themselves to death if given a mechanism to trigger the release of dopamine ...

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