Deep Learning for Natural Language Processing Part 1 How artificial neural networks and deep learning techniques help us with the natural language processing toolbox. Description This course is a part of "Deep Learning for NLP" Series. In this course, I will introduce basic deep learning concepts like multi-layered perceptrons, word embeddings and recurrent neural networks. These concepts form the base for good understanding of advanced deep learning models for Natural Language Processing. The course consists of three sections.

Machine learning is absolutely fascinating and if you watched the WWDC 2017 sessions, you know how awesome it is! So in this set of videos, I'll be sharing with you what I learned about Natural Language Processing in this last video of the NLP series and discovered with NSLinguisticTagger and how powerful it is. If you want to explore and analyze natural language, I break it down for you!;) If you want to explore and learn more about it, definitely read the documentation and watch the videos: https://developer.apple.com/machine-l... Also, do some experiments! I didn't show the raw output for tag and tokens, I dare you to see what outputs without forcible unwrapping everything (which isn't the best thing to do - guard statements should be used if you aren't absolutely positive that there is valid text coming in) and why I coded it the way I did.