Deep learning/ Ian Goodfellow, Yoshua Bengio and Aaron Courville
Series: (Adaptive computation and machine learning)Publication details: Cambridge: The MIT Press, ©2016Description: xxii, 775 p. : ill. ; 24 cmISBN: 9780262035613; 0262035618Subject(s): Machine learningDDC classification: 006.31Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
General Books | Central Library, Sikkim University General Book Section | 006.31 GOO/D (Browse shelf(Opens below)) | Available | 48062 |
Introduction --
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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