Deep learning with R

Deep learning with R

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book...

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Detalles Bibliográficos
Otros Autores: Chollet, François, author (author), Allaire, J. J., 1969- contributor (contributor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning Publications [2018]
Materias:
R (Computer program language)
Artificial intelligence.
Neural networks (Computer science)
Machine learning > Technological innovations.
Mathematical statistics > Data processing.
Computer vision.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630613206719
Tabla de Contenidos:
  • Intro
  • Copyright
  • Brief Table of Contents
  • Table of Contents
  • Preface
  • Acknowledgments
  • About This Book
  • About the Authors
  • About the Cover
  • 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
  • Index
  • List of Figures
  • List of Tables
  • List of Listings.

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