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Neural Networks and Deep Learning
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  • Title: Neural Networks and Deep Learning
  • Author(s) Michael Nielsen
  • Publisher: Determination Press (2015); eBook (NeuralNetworksAndDeepLearning.com)
  • License(s): CC BY-NC 3.0
  • Hardcover/Paperback: N/A
  • eBook: HTML and PDF
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
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Book Description

Neural Networks and Deep Learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

The book will teach you about:

  • Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data
  • Deep learning, a powerful set of techniques for learning in neural networks

Artificial neural networks are present in systems of computers that all work together to be able to accomplish various goals. They are useful in mathematics, production and many other instances. The artificial neural networks are a building block toward making things more lifelike when it comes to computers.

Read on to learn more about how artificial and biological neural networks are similar, what types of neural networks are available for systems of computers and how your computer may one day be able to become self-aware.

About the Authors
  • Michael Nielsen is a scientist, writer, and programmer. He works on ideas and tools that help people think and create, both individually and collectively.
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