Introduction to deep learning / Eugene Charniak
Material type:
TextPublication details: Cambridge, Massachusetts : The MIT Press, c2018Description: xii, 174 pages : illustrations ; 23 cmISBN: - 9780262039512
- Q 325.7 .C43 2018
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National University - Manila | LRC - Main General Circulation | Machine Learning | GC Q 325.7 .C43 2018 (Browse shelf(Opens below)) | c.1 | Available | NULIB000017776 |
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| GC Q 325.6 .B49 2019 Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras / | GC Q 325.6 .P53 2022 Deep reinforcement learning / | GC Q 325.6 .S88 2018 Reinforcement learning : an introduction / | GC Q 325.7 .C43 2018 Introduction to deep learning / | GC QA 76.5 .S545 2011 Discovering computers fundamentals 2011 : living in a digital world / | GC QA 76.6 .S36 2019 Computer networking : this book includes computer networking for beginners and beginners guide (All-in-One) / | GC QA 76.9.A43 .S43 2011 c.2 Algorithms / |
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.
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