Here is my short list of materials related to Deep Learning and NLP that I found useful during my exploration of this topics. I don’t think that this list is exhaustive, but maybe you will find something useful;) Videos: General introduction: http://www.fast.ai/ - an introduction to Deep Learning focused on examples. There are a lot of Jupyter notebooks supplementing the course - https://github.com/fastai/courses/tree/master/deeplearning1/nbs. https://www.coursera.org/specializations/deep-learning - Deep Learning specialization from Andrew Ng.
I enjoyed work with Facebook’s fastText (https://github.com/facebookresearch/fastText) library and its R’s wrapper fastrtext (https://github.com/pommedeterresautee/fastrtext). However, I want to spend some more time with StarSpace library (also Facebook’s library for NLP). Unfortunately, there’s no R package for StarSpace! It’s quite surprising because I there are thousands of packages. Nevertheless, this one is missing. In the end, I decided to write my wrapper - https://github.com/zzawadz/StarSpaceR. I had some problems with compilation because of dozens of compiler flags which must be set before compilation.