Deep Learning with R

• Κύριος συγγραφέας: Ghatak, Abhijit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: 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....

Πίνακας περιεχομένων:

• 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.