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Fundamentals of deep learning designing next-generation machine intelligence algorithms

Bibliographic Details
Main Authors: Buduma, Nikhil, Locascio, Nicholas (Author)
Format: eBook
Language:English
Published: Sebastopol, CA O'Reilly Media 2017
Edition:First edition
Subjects:
Réseaux Neuronaux (informatique)
Maschinelles Lernen / Gnd
Neural Networks (computer Science) / Fast
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Deep Learning / Gnd / Http://d-nb.info/gnd/1135597375
Artificial Intelligence / Fast
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Artificial Intelligence
Neural Networks, Computer
Künstliche Intelligenz / Gnd / Http://d-nb.info/gnd/4033447-8
Intelligence Artificielle
Neural Networks (computer Science) / Http://id.loc.gov/authorities/subjects/sh90001937
Machine Learning / Fast
Apprentissage Automatique
Artificial Intelligence / Aat
Computers / General / Bisacsh
Machine Learning
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • 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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