Introduction to Deep Learning
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 embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and tech…
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Produktdetails
- ISBN: 978-0-262-35164-5
- EAN: 9780262351645
- Produktnummer: 34637052
- Verlag: MIT Press
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 192 S.
- Plattform: EPUB
- Masse: 5'274 KB
- Abbildungen: 75 B&W ILLUS.
Über den Autor
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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