Deep Learning with R
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....
| 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: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Domain-Specific Languages in R Advanced Statistical Programming /
by: Mailund, Thomas, et al.
Published: (2018) -
R Quick Syntax Reference A Pocket Guide to the Language, APIs and Library /
by: Tollefson, Margot, et al.
Published: (2019) -
Scalable Uncertainty Management 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings /
Published: (2018) -
Coding Ockham's Razor
by: Allison, Lloyd, et al.
Published: (2018) -
Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) Transcending Boundaries, Embracing Multidisciplinary Diversities /
Published: (2019)