学生对 Coursera 提供的 Fine Tune BERT for Text Classification with TensorFlow 的评价和反馈
课程概述
热门审阅
AA
Dec 12, 2021
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.
JH
Dec 24, 2021
I have some experience on computer vision and need to take a NLP project, this course give me a heads up on the project.
26 - Fine Tune BERT for Text Classification with TensorFlow 的 41 个评论(共 41 个)
创建者 Valentina
•Nov 19, 2020
A complex topic explain in one day
创建者 Tonatiuh R
•Apr 13, 2023
Great project. Easy to follow.
创建者 Rahul B
•Oct 28, 2021
Really informative course
创建者 Prakash D
•May 3, 2022
very goog experience
创建者 Imteaz H
•Apr 10, 2025
very well explained
创建者 Libero P
•Sep 7, 2025
Πολύ καλό μάθημα.
创建者 Alexander d C O
•Nov 28, 2023
Excellent
创建者 Revathy D R
•Jan 30, 2025
good
创建者 AJAY T
•Sep 20, 2020
Nice
创建者 Yash
•Nov 5, 2022
.
创建者 Jorge G
•Feb 25, 2021
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.
创建者 Araz S
•May 22, 2022
Great Intro to BERT! Would recommend needing to have good skills with Python, Tensorflow and some knowledge of BERT and concepts of NLP like Transformers, Attention, etc to take full advantage of the same! :D
创建者 Yanfei C
•Jun 19, 2021
The project is very clear and easy to follow. Would suggest providing some gmail account so that we don't have to log into the colab using our own google credentials.
创建者 Kleider S V G
•Mar 4, 2022
Thank you very much. It was very good
创建者 kenn t
•Jun 6, 2021
It's good to learn how to implement BERT model with pyTorch.
Personally, I need more theoretical instructions about BERT and transformer.
创建者 Carolina A Q
•Jun 4, 2022
Background in BERT and TemsorFlow needed. Some things where difficult to follow