The deep learning and convolutional network is a emerging field. I need guide to that especially in R language because python are not so trendy now a days.
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Are you sure Python is not trendy? To affirm this you need to talk to different types if professionals, look at the market and have in mind your needs.
Do not forget the amount of code already developed.
Convolutional neural networks are a type of deep learning.
You can start looking at https://www.rdocumentation.org/packages/deeplearning/versions/0.1.0
Are you sure Python is not trendy? To affirm this you need to talk to different types if professionals, look at the market and have in mind your needs.
Do not forget the amount of code already developed.
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/
https://www.r-bloggers.com/convolutional-neural-networks-in-r/
https://www.kaggle.com/cd12631/using-r-and-tensorflow-to-build-cnn
Hoping it will help you
You can have look at :
https://www.mdpi.com/journal/remotesensing/special_issues/CNN_RS
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