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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

On processing reality sequentially

The notion of changing the order of processing a sequence is quite an intriguing one. We humans certainly seem to prefer a certain order of learning things over another. The second sentence that's been reproduced in the following image simply makes no sense to us, even though we know exactly what each individual word within the sentence means. Similarly, many of us have a hard time reciting the letters of the alphabet backward, even though we are extremely familiar with each letter, and compose much more complex concepts with them, such as words, ideas, and even Keras code:

It is very likely that our sequential preferences have to do with the nature of our reality, which is sequential and forward-moving by definition. At the end of the day, the configuration of the 1011 neurons in our brain has been engineered by time and natural forces...

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