Unable to complete the course because the version of tensorflow used in it doesn't play nice anymore with the collab environment the course use :(

1.No video are there to explain the concepts(it has a video link which doesn't work).

2.There is no Rhyme Environment as mentioned in the description.

3.It only has a notebook which contains only the code without any explanation.

Very helpful to have it explained so patiently and thoroughly. I am not sure how one starts to really be able to practically work these deep and intricate libraries without the training wheels of all the guidance in these courses. But regardless, if would probably be prohibitively difficult without them, so I am grateful fo all the folks at Coursera that take the time to produce this material and courses.

The course is just awesome. I searched a ton of tutorials on fine tuning before landing onto this guided-project and I can't tell how blessed I feel now. The course is even better than most full TensorFlow tutorials which teach all the vague stuff that I have to omit all the time. Snehan has beautifully explained what is "just necessary" to dive into fine tuning BERT.

Thanks for the course :)

This course can help us to understand BERT for text classification with tensorflow and the material presented is quite easy to follow :)

Helped me cement the basic understanding on how to use BERT for my use case.

Excellent course for those who already has done some research on the field.

Gerçekten aydınlatıcı ve anlaşılır bir eğitim. (Ben ücretsiz bu eğitime eriştim. )

Uygulamalı eğitimler her zaman teorikten daha kalıcı oluyor. Üstelik kişinin ben bunu yapabilirim deme noktasında bir özgüven verdiği de gerçek.

Eğitmenlerime ve içeriği hazırlamada yardımı dokunan herkese çok teşekkür ederim

Excellent and very helpful course, the instructor language is very clear and concise and to the point, I would love to learn more from the same instructor.

I have some experience on computer vision and need to take a NLP project, this course give me a heads up on the project.

The project was well explained and provided good understanding of bert for text classification. Also the quiz were good.

It would be helpful if the course was also offered outside of Google colab environment (standalone).

This course helped me to understand the Transformer architecture and also various NLP techniques.

it is very helpful and simply explain the idea of Bert model , really it is useful project

The project is well designed, helpful. I learn a lot from this project. Thank you very much

Great course. Easy to follow & straightforward explanations.

really nice glue to connect all the dots. Thanks so much

Need More detail explanation as its a advance NLP topic.

Need a bit of preknowledge of bert and preprocessing

colab was extremly slow but the teacher was great

A great introduction to BERT and with TensorFlow

the project is perfect. Thank you very much

Great course to learn step by step.

thank you, This project is useful.