Comentários e feedback de alunos de Fine Tune BERT for Text Classification with TensorFlow da instituição Coursera Project Network
Sobre o curso
Melhores avaliações
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).
1 — 15 de 15 Avaliações para o Fine Tune BERT for Text Classification with TensorFlow
por Anup P
•Excellent course for those who already has done some research on the field.
por David N
•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.
por Feng J
•This is such a great course !!!! The instructor prepared the knowledge very well, and he is so good at teaching ! I have learned a lot skills about Bert model in this course ! You should not miss it. I am hoping to see more course from this instructor! Thank you so much for making such a great course !
por Vijender S
•The project was well explained and provided good understanding of bert for text classification. Also the quiz were good.
por Fancy Y
•It would be helpful if the course was also offered outside of Google colab environment (standalone).
por ABHISHEK S
•Helped me cement the basic understanding on how to use BERT for my use case.
por James S
•Great course. Easy to follow & straightforward explanations.
por Sitison
•really nice glue to connect all the dots. Thanks so much
por Janmejay B
•Need More detail explanation as its a advance NLP topic.
por Tiffany T
•A great introduction to BERT and with TensorFlow
por Valentina F
•A complex topic explain in one day
por AJAY T
•Nice
por Jorge H G G
•I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.
por bilzard
•It's good to learn how to implement BERT model with pyTorch.
Personally, I need more theoretical instructions about BERT and transformer.
por vibhor s
•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.
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