_:n45efc57516ae4d06a719953db6871e30xb6
<http://schema.org/reviewBody>
"Very elementary introduction to applications and scenarios in nlp. As has already been mentioned in other comments, the whole course can be compressed into no more than two hour long lecture and exercises over an afternoon.\nThe lectures consist of short videos introducing snippets of code and occasionally making claims but without actual notebooks with which people can play and reproduce results. \nThe quizzes through out this specialization have been written extremely poorly, testing irrelevant (if any) information about datasets and naming modules etc. The quizzes are so trivial that the fact the course grade and certificates are only based off performance on the quizzes makes the whole idea of paying to get certificates questionable.\nThe exercise notebooks are okay but are extremely redundant. After the great expectations built from taking Andrew's deeplearning specialization and machine learning course, I must say the first three courses of this specialization have been extremely disappointing. \nI still want to thank the instructors and the team for taking the time and effort to build this specialization. Perhaps I'm just not the audience it was aimed at. \nMy recommendation to other learners is to first checkout the free tutorials on tensorflow website and keras blog, and then audit through videos in this specialization before deciding to pay for it (Also make sure to first check a few other resources, e.g. Deep Learning with Python textbook by Francois Chollet, the github repo for which is public and the notebooks are almost exactly the same as here but more in-depth). "
<https://ko.coursera.org/learn/natural-language-processing-tensorflow/reviews?authMode=login&page=38>