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Author Goodfellow, Ian, author.
Title Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Publisher Cambridge, Massachusetts : The MIT Press, [2016]
Copyright date ©2016


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 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  AVAILABLE
 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  DUE 07-05-24
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 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  AVAILABLE
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Descript xxii, 775 pages : illustrations (some colour) ; 24 cm.
Content text txt
Media unmediated n
Carrier volume nc
Contents 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.
ISBN 9780262035613
0262035618
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Author Goodfellow, Ian, author.
Series Adaptive computation and machine learning
Adaptive computation and machine learning.
Subject Machine learning,
Alt author Bengio, Yoshua, author.
Courville, Aaron, author.
Descript xxii, 775 pages : illustrations (some colour) ; 24 cm.
Content text txt
Media unmediated n
Carrier volume nc
Contents 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.
ISBN 9780262035613
0262035618
Author Goodfellow, Ian, author.
Series Adaptive computation and machine learning
Adaptive computation and machine learning.
Subject Machine learning,
Alt author Bengio, Yoshua, author.
Courville, Aaron, author.
LOCATION SHELVED AT LOAN TYPE STATUS
 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  AVAILABLE
 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  DUE 07-05-24
 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  AVAILABLE
 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  AVAILABLE
 BJL Reading Room 1st floor HDC  Q325.5 .G66 2016  4 WEEK LOAN  DUE 13-05-24

Subject Machine learning,
Descript xxii, 775 pages : illustrations (some colour) ; 24 cm.
Content text txt
Media unmediated n
Carrier volume nc
Contents 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.
Alt author Bengio, Yoshua, author.
Courville, Aaron, author.
ISBN 9780262035613
0262035618

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