Aug 27, 2019
Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!
Jul 22, 2020
Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!
교육 기관: Rohan L•
May 24, 2020
Good starter course for NLP with Keras. But, I'd say doing Sequence Models ie C5 of the Deep Learning specialization is a must!
교육 기관: Marc-Antoine G•
Nov 13, 2019
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
교육 기관: Vera P•
Jan 27, 2020
It's ok and certainly takes less time than expected, but it's a shame that there are not coding graded exercises.
교육 기관: Wayne Y•
Apr 15, 2020
I feel that the course content is lacking in depth. Usually a week of materials can be finished in a few hours.
교육 기관: Meraj Z•
Jan 18, 2020
Detailed Description is still missing, makes you sometime to google and find the exact understanding.
교육 기관: Alexander P S•
Apr 09, 2020
Homework was almost not existent. Notebooks provided had several mistakes in them. I expected more.
교육 기관: Shivam V•
Jun 23, 2020
The course is overall good . If you are proficient in python then it would be very easy for you.
교육 기관: Aishwarya N•
Jul 24, 2020
Good teaching but a tough course to understand . good that there is no graded coding assignment
교육 기관: RITIK B•
Jun 23, 2020
Concepts are explained less as compared to a great course on convolutional network course-2
교육 기관: Andrew T•
Jan 15, 2020
I wish there are more hands-on practice projects and more explanations of the NLP concepts.
교육 기관: WU F•
May 16, 2020
I don't think it teaches well. The materials are not organized suitably for beginners.
교육 기관: JiahuiWEI•
Sep 09, 2019
It would be better to have acess to the notebook of lessons and some explainations
교육 기관: Yves B•
Nov 16, 2019
I wished to learn more details about the different types of RNN like GRU or LSTM.
교육 기관: Venkatesh S•
Jan 17, 2020
The code should be explained a bit better on the advanced RNN, LSTM examples.
교육 기관: Max W•
Jan 04, 2020
moved very quickly...needed a bit more theory and slower code walk throughs
교육 기관: Nicolai W•
Sep 14, 2019
Comprehensive explanation videos but not enough practical coding exercises.
교육 기관: Matteo T•
Apr 23, 2020
Compared with the two previous courses I found this one very boring
교육 기관: Hyunuk L•
Jun 26, 2020
good overall! but the course materials are maybe too basic...
교육 기관: Shankar G•
Apr 01, 2020
Could've lot of small exercises to understand much better
교육 기관: Ondrej S•
Apr 16, 2020
it would be better to include graded assignments as well
교육 기관: Rohit R C•
May 09, 2020
Could be more detailed, lots of doubts are still there.
교육 기관: NIKITHA M T•
Apr 30, 2020
The sound is very low and I have to strain to hear them
교육 기관: Chan H Y•
Sep 07, 2019
The materials are not up to date to the latest research
교육 기관: Sai k r•
Apr 03, 2020
some portion of the course content is not interactive.
교육 기관: Apoorv G•
Jul 17, 2020
Short Videos are annoying. Overall content is good.