Deep learning
By: Goodfellow, Ian
Title By: Bengio, Yoshua | Courville, Aaron
Material type:
BookSeries: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts : The MIT Press, c2016.Description: xxii, 775 p. : ill. ; 24 cm.ISBN: 9780262035613Subject(s): Machine learningDDC classification: 006.31 GO DE Online resources: Location Map
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.31 GO DE (Browse shelf) | Available | T0056975 |
Total holds: 0
, Shelving location: Main Collection Close shelf browser
|
|
|
|
|
|
|
||
| 006.31 ET MA Machine learning with microsoft technologies : | 006.31 FO DA Data smart : | 006.31 GE HA Hands-on machine learning with Scikit-Learn and TensorFlow : | 006.31 GO DE Deep learning | 006.31 GR DE Deep learning neural networks : | 006.31 HA MA Machine Learning Mathematics : | 006.31 HO LE Learning TensorFlow : |
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.