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Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks by [Heaton, Jeff]

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Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks Kindle Edition

5.0 out of 5 stars 2 customer reviews

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Length: 375 pages Word Wise: Enabled Enhanced Typesetting: Enabled
Page Flip: Enabled Language: English
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Product Description

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularization, dropout, and visualization.

About the Author

Jeff Heaton, PhD, is a computer scientist that specializes in data science and artificial intelligence. Specializing in Python, R, Java and C#, he is an open source contributor and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master's Degree in Information Management from Washington University and a PhD in computer science from Nova Southeastern University in computer science. He is the lead developer for the Encog Machine Learning Framework open source project, a senior member of IEEE, and a fellow of the Life Management Institute (FLMI).

Product details

  • Format: Kindle Edition
  • File Size: 17727 KB
  • Print Length: 375 pages
  • Page Numbers Source ISBN: 1505714346
  • Simultaneous Device Usage: Unlimited
  • Publisher: Heaton Research, Inc.; 1 edition (17 November 2015)
  • Sold by: Amazon Asia-Pacific Holdings Private Limited
  • Language: English
  • ASIN: B0184WRDEQ
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 5.0 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #44,895 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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10 January 2017
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12 November 2016

Most helpful customer reviews on 3.5 out of 5 stars 26 reviews
Dmitri Kozlov
1.0 out of 5 starsUseless for deep understanding, not good for beginners either
1 June 2016 - Published on
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25 people found this helpful.
3.0 out of 5 starsA shotgun that hits nothing
23 June 2016 - Published on
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4 people found this helpful.
2.0 out of 5 starsNo-buy for a beginner and not useful for a professional
11 May 2016 - Published on
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12 people found this helpful.
Peng Liu
1.0 out of 5 starsThe author explained the algorithms/concepts poorly. When the author ...
17 June 2016 - Published on
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6 people found this helpful.
5.0 out of 5 starsJeff does an excellent job. The book is a little more academic ...
15 August 2017 - Published on
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