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

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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
Call Number:Libro Electrónico
Main Authors: Ketkar, Nikhil (Author), Moolayil, Jojo (Author)
Format: Electronic eBook
Language:Inglés
Published: [Berkeley, CA] : Apress, [2021]
Edition:Second edition.
Subjects:
Machine learning.
Python (Computer program language)
Data mining.
Data Mining
Apprentissage automatique.
Python (Langage de programmation)
Exploration de données (Informatique)
Online Access:Texto completo (Requiere registro previo con correo institucional)
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.

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