Deep learning technologies / 3G E-Learning
Publisher: United States of America : 3G E-Learning, c2019Description: viii, 281 pages : illustrationsContent type:- text
- unmediated
- volume
- 9781984623515 [paperback]
- 006.31 D36 2019
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Reference | College Library Computer Studies | 006.31 D36 2019 c.1 (Browse shelf(Opens below)) | c.1 | Available | UC11-000004410 | ||
Reference | College Library Computer Studies | 006.31 D36 2019 c.2 (Browse shelf(Opens below)) | c.2 | Available | UC11-000004411 |
Browsing College Library shelves, Shelving location: Computer Studies Close shelf browser (Hides shelf browser)
006.3 P13 2022 c.1 Key concepts in artificial intelligence / | 006.3 P13 2022 c.2 Key concepts in artificial intelligence / | 006.3 R91 2003 c.3 Artificial intelligence : | 006.31 D36 2019 c.1 Deep learning technologies / | 006.31 D36 2019 c.2 Deep learning technologies / | 006.5 T85 2017 c.1 JavaScript for sound artists : | 006.5 T85 2017 c.2 JavaScript for sound artists : |
Includes index
Machine learning basics -- Feedforward neural network -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Probabilistic graphical models
English
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