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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: materialTypeLabelBookPublisher: Sebastopol, CA : O'Reilly Media, 2017Edition: First edition.Description: xii, 283 pages : illustrations.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781491925614.Subject(s): Artificial intelligence | Machine learning | Neural networks (Computer science) | Artificial intelligence | Machine learning | Neural networks (Computer science) | Deep learning | K�unstliche Intelligen | 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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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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