Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
By: Goodfellow, Ian [author.].
Contributor(s): Bengio, Yoshua [author.] | Courville, Aaron [author.].
Series: Adaptive computation and machine learning.Publisher: Cambridge, Massachusetts : The MIT Press, ©2016Description: 775 pages ; illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780262035613 (hardcover : alk. paper).Subject(s): Machine learningGenre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .G66 2016 (Browse shelf) | Available | AU00000000014486 |
Includes bibliographical references (pages 711-766) 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.