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Hands-On Neural Networks with Keras

You're reading from  Hands-On Neural Networks with Keras

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789536089
Pages 462 pages
Edition 1st Edition
Languages
Author (1):
Niloy Purkait Niloy Purkait
Profile icon Niloy Purkait

Table of Contents (16) Chapters

Preface 1. Section 1: Fundamentals of Neural Networks
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

On reward and gratification

Interestingly, a group of Stanford researchers showed (Marshmallow experiment, in the 1970s, led by psychologist Walter Mischel) how the capability for individuals to delay short term gratification was correlated with more successful outcomes in the long term. Essentially, these researchers called upon children and observed their behavior once they were presented with a set of choices. The children were given two choices that determined how many total marshmallows they could receive during an interaction. They could either choose to cash out one marshmallow on the spot, or cash out two marshmallows if they chose to wait it out for 15 minutes. This experiment gave keen insight into how interpreting reward signals are beneficial or detrimental for performing in a given environment as the subjects who chose two marshmallows turned out to be more successful...

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