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Applied Deep Learning with Python

You're reading from   Applied Deep Learning with Python Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789804744
Length 334 pages
Edition 1st Edition
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Authors (2):
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Alex Galea Alex Galea
Author Profile Icon Alex Galea
Alex Galea
Luis Capelo Luis Capelo
Author Profile Icon Luis Capelo
Luis Capelo
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Toc

What are Neural Networks?

Neural networks—also known as Artificial Neural Networks—were first proposed in the 40s by MIT professors Warren McCullough and Walter Pitts.

For more information refer, Explained: Neural networks. MIT News Office, April 14, 2017. Available at:
http://news.mit.edu/2017/explained-neural-networksdeep-learning-0414.

Inspired by advancements in neuroscience, they proposed to create a computer system that reproduced how the brain works (human or otherwise). At its core was the idea of a computer system that worked as an interconnected network. That is, a system that has many simple components. These components both interpret data and influence each other on how to interpret data. This same core idea remains today.

Deep learning is largely considered the contemporary study of neural networks. Think of it as a current name given to neural networks...

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