Deep Learning with R

• Main Author: Ghatak, Abhijit (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Computer science-Mathematics.; Computer programming.; Statistics .; Artificial Intelligence.; Mathematics of Computing.; Programming Techniques.; Statistics and Computing/Statistics Programs.

Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning....

Table of Contents:

• Introduction to Machine Learning
• Introduction to Neural Networks
• Deep Neural Networks - I
• Initialization of Network Parameters
• Optimization
• Deep Neural Networks - II
• Convolutional Neural Networks (ConvNets)
• Recurrent Neural Networks (RNN) or Sequence Models
• Epilogue.