Introduction to deep learning /
Charniak, Eugene
Introduction to deep learning / Eugene Charniak - Cambridge, Massachusetts : The MIT Press, c2018 - xii, 174 pages : illustrations ; 23 cm
Includes bibliographical references and index.
Feed-forward neural nets -- Tensorflow -- Convolutional neural networks -- Word embeddings and recurrent NNs -- Sequence-to-sequence learning -- Deep reinforcement learning -- Unsupervised neural-network models.
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.
9780262039512
COMPUTER LEARNING THEORY
Q 325.7 .C43 2018
Introduction to deep learning / Eugene Charniak - Cambridge, Massachusetts : The MIT Press, c2018 - xii, 174 pages : illustrations ; 23 cm
Includes bibliographical references and index.
Feed-forward neural nets -- Tensorflow -- Convolutional neural networks -- Word embeddings and recurrent NNs -- Sequence-to-sequence learning -- Deep reinforcement learning -- Unsupervised neural-network models.
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.
9780262039512
COMPUTER LEARNING THEORY
Q 325.7 .C43 2018