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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

Implementing a hierarchy of neurons

Finally, the researchers were able to demonstrate that a hierarchy of neurons exists in the visual cortex. They showed that lower-level cells are tasked to detect simple visual patterns, such as line segments. The output from these neurons is used in subsequent layers of neurons to construct more and more complex patterns, forming the objects and people we see and interact with. Indeed, modern neuroscience confirms that the structure of the visual cortex is hierarchically organized to perform increasingly complex inferences using the output of previous layers, as illustrated:

The preceding diagram means that recognizing a friend involves detecting the line segments making up their face (V1), using those segments to build shapes and edges (V2), using those shapes and edges to form complex shapes such as eyes and noses (V3), and then leveraging...

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