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

Heaton, Jeff

ISBN 10: 1505714346 / ISBN 13: 9781505714340

Published by CreateSpace Independent Publishi, 2015

About this Item

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Bibliographic Details

• Title: Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
• Publisher: CreateSpace Independent Publishi
• Publication Date: 2015
• Language: English
• ISBN 10: 1505714346
• ISBN 13: 9781505714340
• Binding: paperback
• Condition: Very Good

About this title

Synopsis

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).