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.)
Thanks to Mr.Ari Anastassiou\n\nSentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it
創建者 Timothy Q•
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 Akshay K P•
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•
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•
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 Rajiv K•
Required detail explanation and faculy support for error soliving and explroing alternative
創建者 Shantanu B•
Need major improvement with the interactive notebook along with its response time and UI
創建者 Murtuza B•
Thank you so much for creating this project! Appreciate your time and efforts!
創建者 Nicole G C•
I didn't like the platform you use. Rhyme, it's not a good tool.
創建者 Ramkumar R•
Very useful to learn more with deep learning using Bert
創建者 SYED A G S•
its very helpful and very good
創建者 KRUSHNA P S•
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創建者 Ovi S•
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創建者 Nikhil C K•
創建者 Rajvardhan P•
I didn't learn anything new here. This code and explanation is available on the web free of cost.