Charniak, Eugene <br/><br/>
Introduction to deep learning / 
Eugene Charniak 
 - Cambridge, Massachusetts :  The MIT Press,  c2018 
 - xii, 174 pages :  illustrations ;  23 cm 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Feed-forward neural nets -- Tensorflow -- Convolutional neural networks -- Word embeddings and recurrent NNs -- Sequence-to-sequence learning -- Deep reinforcement learning -- Unsupervised neural-network models. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9780262039512 
<br/><br/><label>Subjects--Topical Terms: </label><br/>COMPUTER LEARNING THEORY
<br/><br/><label>LC Class. No.: </label>Q 325.7 .C43 2018