NM
Dec 12, 2020
A truly great course, focuses on the details you need, at a good pace, building up the foundations needed before relying more heavily on libraries an abstractions (which I assume will follow).
HS
Dec 2, 2020
A neatly organized course introducing the students to basics of Processing text data, learning word embedding and most importantly on how to interpret the word embedding. Great Job!!
By stephane d
•Jan 6, 2023
Really, really a great course!
The explanations are very clear.
Thanks to Younes, Lukasz and Eddy for this great preparation!
I look forward to seeing a specialization in Reinforcement Learning with the same structure as the current course!
By Prantik B
•Aug 29, 2020
The overall contents are very much interesting & also helpful. But week2 & 3 was a little bit harder for me. So I think, those contents can be little bit more informative so that anyone can go through the week's assignment more clearly.
By Usama I P
•May 16, 2021
Best Course for studying NLP. I started NLP as an experiment but these guys made me fell in love with NLP with such a clear and in depth explanation of everything that I feel so confident. Thank you for such an awesome course.
By Cecilia G R P
•Sep 8, 2020
Excellent course, the explanations given by Professor Younes were very clear. It allowed me to learn more about how natural language processing is done on the inside. Thank you to all the teachers for sharing their knowledge!
By Dustin Z
•Aug 22, 2020
A good course that covers several important probabilistic models in NLP. Very good balance between challenging and easy. There are also some interesting software concepts like dynamic programming discussed. A fun course!
By Vijay A
•Oct 25, 2020
Excellent and detailed description of how autocorrect and autocomplete work, as well as how POS are tagged based on Markov Models and how word embeddings are derived using a CBOW model.. thoroughly enjoyed this course!
By Christoph H
•Jul 1, 2020
This course goes hand in hand with the Daniel Jurafsky's introduction to NLP (Speech and Language Processing) and provides the knowhow for hands on implementation of simple but powerful probabilistic methods.
By Vishal b
•May 3, 2021
Amazing course , just loved the way faculties has explained the complex concepts in such a easy manner and also hands-on labs and graded assignment are very helpful to review one's understanding of concepts
By Neo P
•Jan 22, 2022
This class is one of the best on the subject. The prof is very knowledgeable and explains concepts very clearly.
The code in the assignments and lectures is super clean and structured incredibly well.
By Noah M
•Dec 13, 2020
A truly great course, focuses on the details you need, at a good pace, building up the foundations needed before relying more heavily on libraries an abstractions (which I assume will follow).
By Harshavardhan S
•Dec 3, 2020
A neatly organized course introducing the students to basics of Processing text data, learning word embedding and most importantly on how to interpret the word embedding. Great Job!!
By Bharathi k N
•Sep 11, 2020
This is one of the best courses i have taken. I have learned a lot from this course. Assignments were great and challenging. Thank you deeplearning.ai team for this amazing course.
By Aditya h
•Oct 9, 2020
Thoroughly relished this course. Each and every concept is explained in depth as well as there is a companion notebook to explain as well as practically implement the concepts.
By Kazuomi K
•Jul 1, 2020
This course is very good introduction to NLP Probabilistic models such as Hidden Markov model, N-Gram Language model, and Word2Vec with Python programming assignments.
By Marc G
•Jan 24, 2022
Excellent course! Well designed and taught. I would have liked more advices on how to preprocess text before applying word embeddings (lemmatization, stemming, etc.)
By Veronica B
•Jul 29, 2022
This course was really great. Most videos have small understanding questions at the end. The final assignment was the peak of the smaller lecture notebooks.
By Jian G
•Oct 27, 2020
this course is well-designed. It incorporates all factors that make a successful online course. bitesize video, easy to understand, exercise notebooks, etc.
By bob n
•Feb 13, 2021
Nicely broken into digestible chunks. Labs well done, not too easy, and too too frustrating. Material presented clearly and in (again) nice small steps.
By ps
•May 30, 2021
I'm really thankful to the professors for sharing there knowledge and experience and creating this excellent course. I have learnt a a lot. Thank You !!!
By Abanoub P
•Dec 28, 2020
A great course in the very spirit of the original Andrew Ng's ML course with lots of details and explanations of fundamental approaches and techniques.
By Ivan V S
•Sep 26, 2021
I grade 5 stars, but take in account, that this course is very specific. It provides real basics of NN and NLP and it is more fundamental than apply.
By Baurjan S
•Aug 29, 2020
Totally enjoyed it. I took a Deep Learning course a couple of years ago and in some respect, it was a great refreshment form two years ago. Thank you!
By aanand l
•Feb 3, 2021
Course well structured. SBOW very well explained and registered firmly. Word embeddings explained very well. Overall very happy from the learning’s
By Long H T
•Jun 14, 2021
This course is amazing! I could not know that I can learn so many interesting things! I am so happy to take the next course in the specialization.
By yesid a c m
•Jan 7, 2021
Es extenso, pero super interesante la forma de aprender por coursera, cbow model es super chevere. aprendí también, temas de toquenizar textos.