How to implement Convolutional Neural Network in R. Which is the suitable library for the implementation of CNN in R?
Hi Rajani,
I'd suggest: https://github.com/apache/incubator-mxnet
and a tutorial https://www.r-bloggers.com/image-recognition-tutorial-in-r-using-deep-convolutional-neural-networks-mxnet-package/
Dear Dr Kamath,
I entirely agree with Dr Maskeliunas' recommendations. In addition, the following website might be useful too:
http://www.rblog.uni-freiburg.de/2017/02/07/deep-learning-in-r/
Yours sincerely,
Rainer
Hi!
In my opinion, Keras with back end tensorflow support and MXNet would be the best available R packages (for deep learning API compatible with R ) to deal with CNN.
https://keras.rstudio.com/
https://mxnet.incubator.apache.org/api/r/index.html
Along side of CPU processing they both support faster GPU processing.
Here is one nice book " Deep Learning with R " written by " François Chollet with J. J. Allaire " which will be release on upcoming January 2018. I believe contents of this book would be enough to learn deep learning in R with Keras and Tensorflow implementation.
https://www.manning.com/books/deep-learning-with-r
You can get a nice preview of one of its chapter's implementation with image classification in the following website
https://www.r-bloggers.com/image-classification-on-small-datasets-with-keras/
Hoping it will help you
- Badges
- Science topic