
Introduction to Deep Learning
$101.59
- Hardcover
192 pages
- Release Date
28 January 2019
Summary
A project-based guide to the basics of deep learning.This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word em…
Book Details
| ISBN-13: | 9780262039512 |
|---|---|
| ISBN-10: | 0262039516 |
| Author: | Eugene Charniak |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 192 |
| Release Date: | 28 January 2019 |
| Weight: | 540g |
| Dimensions: | 229mm x 178mm x 21mm |
| Series: | The MIT Press |
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About The Author
Eugene Charniak
Eugene Charniak is Professor of Computer Science at Brown University. He is the author of Statistical Language Learning (MIT Press) and other books.
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