GOOD

good

nice

good

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

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.

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.

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.

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

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.

Required detail explanation and faculy support for error soliving and explroing alternative

Need major improvement with the interactive notebook along with its response time and UI

Thank you so much for creating this project! Appreciate your time and efforts!

I didn't like the platform you use. Rhyme, it's not a good tool.

Very useful to learn more with deep learning using Bert

the instructor could try to explain a bit more

its very helpful and very good

Awesome Project

great

Good

Ok

.

All in all good. But it would have been much better with more explanations about the code.

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.