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Learner Reviews & Feedback for Fine Tune BERT for Text Classification with TensorFlow by 糖心vlog官网观看

4.6
stars
211 ratings

About the Course

This is a guided project on fine-tuning a Bidirectional Transformers for Language Understanding (BERT) model for text classification with 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: This course works best for learners who are based in the North America region. We鈥檙e currently working on providing the same experience in other regions....

Top reviews

AA

Dec 13, 2021

E鈥媥cellent 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 25, 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.

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26 - 41 of 41 Reviews for Fine Tune BERT for Text Classification with TensorFlow

By Valentina

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Nov 19, 2020

A complex topic explain in one day

By Tonatiuh R

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Apr 14, 2023

Great project. Easy to follow.

By Rahul B

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Oct 28, 2021

Really informative course

By Prakash D

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May 3, 2022

very goog experience

By Imteaz H

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Apr 10, 2025

very well explained

By Libero P

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Sep 7, 2025

螤慰位蠉 魏伪位蠈 渭维胃畏渭伪.

By Alexander d C O

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Nov 29, 2023

Excellent

By Revathy D R

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Jan 30, 2025

good

By AJAY T

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Sep 21, 2020

Nice

By Yash

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Nov 5, 2022

.

By Jorge G

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Feb 26, 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.

By Araz S

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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

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Jun 20, 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

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Mar 4, 2022

Thank you very much. It was very good

By kenn t

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Jun 7, 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

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Jun 4, 2022

Background in BERT and TemsorFlow needed. Some things where difficult to follow