Fundamentals of deep learning : designing next-generation machine intelligence algorithms / Nikhil Buduma ; with contributions by Nicholas Locascio.
By: Buduma, Nikhil
.
Contributor(s): Locascio, Nicholas.
Material type: 
TextPublisher: Sebastopol, CA : New Delhi : O'Reilly Media, Shroff Publishers & Distributors Pvt. Ltd., c2017Edition: 1st ed.Description: xii, 283 pages : illustrations (some color) ; 23 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781491925614; 9789352135608.Other title: Designing next-generation machine intelligence algorithms.Subject(s): Artificial intelligence | Machine learning | Neural networks (Computer science) | Deep learning | Künstliche IntelligenzDDC classification: 006.3/1 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Book | BAIUST Library General Stacks | 006.3/1 B8599f (Browse shelf) | 1 | Not For Loan | 010394 | |
| Book | BAIUST Library General Stacks | 006.3/1 B8599f (Browse shelf) | 2 | Available | 010395 | |
| Book | BAIUST Library General Stacks | 006.3/1 B8599f (Browse shelf) | 3 | Withdrawn | 010396 |
Includes bibliographical references and index.
The neural network -- Training feed-forward neural networks -- Implementing neural networks in TensorFlow -- Beyond gradient descent -- Convolutional neural networks -- Embedding and representation learning -- Models for sequence analysis -- Memory augmented neural networks -- Deep reinforcement learning.
Computer Science and Engineering CSE
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