學生對 Coursera Project Network 提供的 Sentiment Analysis with Deep Learning using BERT 的評價和反饋
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FR
2020年10月11日
Clean, clear and helpful. Thanks a lot!\n\nWould also be nice to see the approaches to tune BERT for the particular task (e.g. custom tokenization, pre-processing of data, etc.)
GB
2020年7月27日
Thanks to Mr.Ari Anastassiou\n\nSentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it
51 - Sentiment Analysis with Deep Learning using BERT 的 75 個評論（共 76 個）
創建者 PAVITHRA B
•2020年9月24日
GOOD
創建者 k j
•2020年7月1日
good
創建者 Vajinepalli s s
•2020年6月16日
nice
創建者 tale p
•2020年6月16日
good
創建者 Yen S L
•2020年9月12日
Content is ok but wish he explained more. I rather there by less typing and more explaining. I found myself having to pause the video a lot to look up code syntax lest it becomes a typing exercise. The Rhyme platform for assignments is nice in concept (side by side notebooks) but is barely usable in practice. Typing was laggy and it won't allow cut and paste which is really silly given how much code is over copied to be modified (e.g. train vs validation). I dislike Rhyme enough that I will probably not want to do another project involving it!
The project length is just nice and nicely broken into 10 tasks so you'll at least understand the major steps if not all the code
創建者 Timothy Q
•2020年11月3日
This project is enough to give you a quick overview of how powerful BERT algorithm is. However the instructor barely explained how it works and the course feels very rushed. I don't know if Coursera limits the length of these guided projects to a specific period, but they should definitely consider providing more content on these courses.
創建者 Learn P P
•2020年6月27日
The interface seemed laggy. I had internet connection of 10Mbps. I don't know if it was because of that or because of the OS. There should have been a minimum internet speed requirement if we want to do the hands-on code. Otherwise, the project is good and the instructor taught us well.
創建者 Siddique Z A
•2020年8月8日
Nice experience with this course especially while creating the project of sentiment analysis on rhyme environment but the practising session is not much vissible in rhyme because of the size of the window.
創建者 Wira M
•2021年2月13日
Good instructor, however anyone join this must have at least a knowledge in basic Python Programming and have learned about BERT and fundamental of Natural Language Processing
創建者 Divya B
•2021年11月18日
The course covered the material well. Helpful to do the exercises side by side. I feel the course does require prior knowledge of pyTorch and BERT also.
創建者 Rajiv K
•2020年6月30日
Required detail explanation and faculy support for error soliving and explroing alternative
創建者 shantanu b
•2020年6月5日
Need major improvement with the interactive notebook along with its response time and UI
創建者 Murtuza B
•2020年9月25日
Thank you so much for creating this project! Appreciate your time and efforts!
創建者 Nicole G C
•2020年7月18日
I didn't like the platform you use. Rhyme, it's not a good tool.
創建者 Ramkumar R
•2020年6月5日
Very useful to learn more with deep learning using Bert
創建者 Rohit L
•2021年8月4日
the instructor could try to explain a bit more
創建者 SYED A G S
•2020年5月16日
its very helpful and very good
創建者 KRUSHNA P S
•2020年5月30日
Awesome Project
創建者 prashant b
•2020年9月22日
great
創建者 Ovi S
•2020年6月2日
Good
創建者 M M A
•2020年7月26日
Ok
創建者 Nikhil C K
•2020年6月1日
.
創建者 Seema A
•2021年5月23日
All in all good. But it would have been much better with more explanations about the code.
創建者 PRASHANT K
•2021年6月28日
It's not up to coursera Standards. Could have been done much much better. Only one good thing can out of it for me that he has provided one or two good reference for reading about BERT.
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