Deep learning with R /

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Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Chollet, François (Author), Allaire, J. J. (Author)
Format: Electronic eBook
Language:Inglés
Published: Shelter Island, NY : Manning Publications, [2018]
Subjects:
R (Computer program language)
Artificial intelligence.
Neural networks (Computer science)
Machine learning.
Mathematical statistics > Data processing.
Artificial Intelligence
Neural Networks, Computer
Machine Learning
R (Langage de programmation)
Intelligence artificielle.
Réseaux neuronaux (Informatique)
Apprentissage automatique.
Statistique mathématique > Informatique.
artificial intelligence.
Artificial intelligence
Machine learning
Mathematical statistics > Data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Part 1. Fundamentals of deep learning
  • Chapter 1. What is deep learning?
  • Chapter 2. Before we begin: the mathematical building blocks of neural networks
  • Chapter 3. Getting started with neural networks
  • Chapter 4. Fundamentals of machine learning
  • Part 2. Deep learning in practice
  • Chapter 5. Deep learning for computer vision
  • Chapter 6. Deep learning for text and sequences
  • Chapter 7. Advanced deep-learning best practices
  • Chapter 8. Generative deep learning
  • Chapter 9. Conclusions
  • Appendix A. Installing Keras and its dependencies on Ubuntu
  • Appendix B. Running RStudio Server on an EC2 GPU instance

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