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Deep learning /

By: Contributor(s): Material type: TextTextSeries: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts : The MIT Press, [2016]Copyright date: ©2016Description: xxii, 775 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780262035613
Subject(s): DDC classification:
  • 006.31 GOD 23
Contents:
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Item type Current library Collection Call number Status Date due Barcode Item holds
Book Non-borrowing Book Non-borrowing Library D Information Technology 006.31 GOD (Browse shelf(Opens below)) Not For Loan 1004580
Book Book Library D Information Technology 006.31 GOD (Browse shelf(Opens below)) Available 1004581
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Includes bibliographical references and index.

Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.

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