There are many tools and libraries designed to solve NLP problems. Today, we want to outline and compare the most popular and helpful natural language processing libraries, based on our experience.
https://www.datasciencecentral.com/profiles/blogs/comparison-of-top-6-python-nlp-libraries
https://www.datasciencecentral.com/profiles/blogs/comparison-of-top-6-python-nlp-libraries
Datasciencecentral
Comparison of Top 6 Python NLP Libraries
Natural language processing (NLP) is getting very popular today, which became especially noticeable in the background of the deep learning development. NLP is…
An Opinionated Introduction to AutoML and Neural Architecture Search
http://www.fast.ai/2018/07/16/auto-ml2/
http://www.fast.ai/2018/07/16/auto-ml2/
Deep learning holds many mysteries for theory, as we have discussed on this blog. Lately many ML theorists have become interested in the generalization mystery: why do trained deep nets perform well on previously unseen data, even though they have way more free parameters than the number of datapoints (the classic “overfitting” regime)?
http://www.offconvex.org/2017/12/08/generalization1/
http://www.offconvex.org/2017/12/08/generalization1/
Off the convex path
Generalization Theory and Deep Nets, An introduction
Algorithms off the convex path.