Fundamentals of deep learning : designing next-generation machine intelligence algorithms / Nikhil Buduma ; with contributions by Nicholas Locascio.
By: Buduma, Nikhil [author.].
Contributor(s): Locascio, Nicholas [author.].
Material type:
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.
Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
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Kitwe Library On Shelf | TA 347.A78 BUD 2017 (Browse shelf) | 1 | Available | 33729005563452 |
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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