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Deep learning with Python learn best practices of deep learning models with PyTorch

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how w...

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Bibliographic Details
Main Authors: Ketkar, Nikhil, Moolayil, Jojo (Author)
Format: eBook
Language:English
Published: [Berkeley, CA] Apress 2021
Edition:Second edition
Subjects:
Data Mining / Fast
Data Mining
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Python (computer Program Language) / Fast
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Machine Learning / Fast
Apprentissage Automatique
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Python (langage De Programmation)
Exploration De Données (informatique)
Machine Learning
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1
  • Introduction Deep Learning
  • Chapter 2
  • Introduction to PyTorch
  • Chapter 3- Feed Forward Networks
  • Chapter 4
  • Automatic Differentiation in Deep Learning
  • Chapter 5
  • Training Deep Neural Networks
  • Chapter 6
  • Convolutional Neural Networks
  • Chapter 7
  • Recurrent Neural Networks
  • Chapter 8
  • Recent advances in Deep Learning
  • Includes bibliographical references and index

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