Introduction to deep learning / Eugene Charniak.

By:

Charniak, Eugene [author.]

Material type: Text

TextPublication details: Cambridge, MA : The MIT Press, 2018.Description: xii, 174 pages : 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780262039512

Subject(s):

Computational learning theory

DDC classification:

006.31 C382i

LOC classification:

Q325.7 C43

Summary: Feed-Forward Neutral Nets – TensorFlow – Convolutional Neutral Networks – Word Embeddings and Recurrent NNs – Sequence-to-Sequence Learning – Deep Reinforcement Learning – Unsupervised Neutral-Network Models

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	Main Library	Circulation Section	CIR 006.31 C382i 2018 (Browse shelf(Opens below))	1-1	Available		024424

Browsing Main Library shelves, Shelving location: Circulation Section Close shelf browser (Hides shelf browser)

Previous								Next
Previous	CIR 006.3 T413 2019 3GE collection on computer science artificial intelligence and applications	CIR 006.3 T739c 2020 A classical approach to artificial intelligence AI-LISP PROLOG/	CIR 006.31 C179b 2018 Beyond artificial intelligence from human consciousness to artificial consciousness	CIR 006.31 C382i 2018 Introduction to deep learning /	CIR 006.31 D360 2018 Deep learning technologies and applications	CIR 006.31 D360 2022 Deep learning algorithms /	CIR 006.31 D360 2022 Deep learning algorithms /	Next

Includes index.

Includes bibliographical references.

Feed-Forward Neutral Nets – TensorFlow – Convolutional Neutral Networks – Word Embeddings and Recurrent NNs – Sequence-to-Sequence Learning – Deep Reinforcement Learning – Unsupervised Neutral-Network Models

There are no comments on this title.

to post a comment.