Learner Reviews & Feedback for Fine Tune BERT for Text Classification with TensorFlow by Coursera Project Network
About the Course
TensorFlow. In this 2.5 hour long project, you will learn to preprocess and tokenize data for BERT classification, build TensorFlow input pipelines
for text data with the tf.data API, and train and evaluate a fine-tuned BERT model for text classification with TensorFlow 2 and TensorFlow Hub.
Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with
deep learning for Natural Language Processing (NLP), and have trained models with TensorFlow or and its Keras API. Note: T...
Top reviews
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.
SI
Apr 5, 2022
This course can help us to understand BERT for text classification with tensorflow and the material presented is quite easy to follow :)
26 - 40 of 40 Reviews for Fine Tune BERT for Text Classification with TensorFlow
By Valentina
•Nov 19, 2020
A complex topic explain in one day
By Tonatiuh R
•Apr 13, 2023
Great project. Easy to follow.
By Rahul B
•Oct 28, 2021
Really informative course
By Prakash D
•May 3, 2022
very goog experience
By Imteaz H
•Apr 10, 2025
very well explained
By Alexander d C O
•Nov 28, 2023
Excellent
By Revathy D R
•Jan 30, 2025
good
By AJAY T
•Sep 20, 2020
Nice
By Yash
•Nov 5, 2022
.
By Araz S
•May 23, 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
By 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.
By Kleider S V G
•Mar 4, 2022
Thank you very much. It was very good
By 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.
By Carolina A Q
•Jun 4, 2022
Background in BERT and TemsorFlow needed. Some things where difficult to follow