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)...
Python Deep Learning
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Python Deep Learning
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Overview of this book
With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.
The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.
Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.
Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you’ll find everything inside.
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Table of Contents (18 chapters)
Python Deep Learning
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
Machine Learning – An Introduction
Neural Networks
Deep Learning Fundamentals
Unsupervised Feature Learning
Image Recognition
Recurrent Neural Networks and Language Models
Deep Learning for Board Games
Deep Learning for Computer Games
Anomaly Detection
Building a Production-Ready Intrusion Detection System
Index
Customer Reviews