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Python Deep Learning

You're reading from   Python Deep Learning Next generation techniques to revolutionize computer vision, AI, speech and data analysis

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786464453
Length 406 pages
Edition 1st Edition
Languages
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Authors (4):
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Peter Roelants Peter Roelants
Author Profile Icon Peter Roelants
Peter Roelants
Daniel Slater Daniel Slater
Author Profile Icon Daniel Slater
Daniel Slater
Valentino Zocca Valentino Zocca
Author Profile Icon Valentino Zocca
Valentino Zocca
Gianmario Spacagna Gianmario Spacagna
Author Profile Icon Gianmario Spacagna
Gianmario Spacagna
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Toc

Table of Contents (12) Chapters Close

Preface 1. Machine Learning – An Introduction FREE CHAPTER 2. Neural Networks 3. Deep Learning Fundamentals 4. Unsupervised Feature Learning 5. Image Recognition 6. Recurrent Neural Networks and Language Models 7. Deep Learning for Board Games 8. Deep Learning for Computer Games 9. Anomaly Detection 10. Building a Production-Ready Intrusion Detection System Index

Similarities between artificial and biological models


Human vision is a complex and heavily structured process. The visual system works by hierarchically understanding reality through the retina, the thalamus, the visual cortex, and the inferior temporal cortex. The input to the retina is a two-dimensional array of color intensities that is sent, through the optical nerve, to the thalamus. The thalamus receives sensory information from all of our senses with the exception of the olfactory system and then it forwards the visual information collected from the retina to the primary visual cortex, which is the striate cortex (called V1), which extracts basic information such as lines and movement directions. The information then moves to the V2 region that is responsible for color interpretation and color constancy under different lighting conditions, then to the V3 and V4 regions that improve color and form perception. Finally, the information goes down to the Inferior Temporal cortex (IT)...

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