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Fundamentals of deep learning : designing next-generation machine intelligence algorithms

By: Buduma, Nikhil.
Contributor(s): Locascio, Nicholas.
Material type: materialTypeLabelBookPublisher: New Delhi : O'Reilly, ©2017Description: xii, 283 p. : ill.; 24 cm.ISBN: 9789352135608.Subject(s): Artificial intelligence | Machine learning | Neural networks (Computer science) | Artificial intelligence | Machine learning | Neural networks (Computer science) | Deep learning | Künstliche Intelligenz | Maschinelles Lernen
Contents:
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.
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books IIITD
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Computer Science and Engineering CB 006.31 BUD-F (Browse shelf) Not For Loan 008756
Books Books IIITD
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Computer Science and Engineering 006.31 BUD-F (Browse shelf) Checked out 21/08/2018 008720
Books Books IIITD
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Computer Science and Engineering REF 006.31 BUD-F (Browse shelf) Not For Loan 008721
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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.

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