Deep Learning and Modern Natural Language Processing (NLP)

Topics covered will include an overview of language vector representations, text classification, named entity recognition, and sequence to sequence modeling approaches. An emphasis will be placed on the shape of these types of problems from the perspective of deep learning architectures. This will help to develop an intuition for identifying which neural network techniques are the most applicable to new problems that practitioners may encounter. Getting Started with Natural Language Processing in Python https://morioh.com/p/04a148fa2131 This tutorial is targeted towards those interested in either natural language processing or deep learning.