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Voltar para Fine Tune BERT for Text Classification with TensorFlow

Comentários e feedback de alunos de Fine Tune BERT for Text Classification with TensorFlow da instituição Coursera Project Network

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Sobre o curso

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 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’re currently working on providing the same experience in other regions....

Melhores avaliações


12 de dez de 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.


12 de abr de 2021

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

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26 — 31 de 31 Avaliações para o Fine Tune BERT for Text Classification with TensorFlow

por Jorge G

25 de fev de 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.

por Araz S

23 de mai de 2022

G​reat 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

por Yanfei C

19 de jun de 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.

por Kleider S V G

4 de mar de 2022

Thank you very much. It was very good

por bilzard

6 de jun de 2021

It's good to learn how to implement BERT model with pyTorch.

Personally, I need more theoretical instructions about BERT and transformer.

por Carolina A Q

4 de jun de 2022

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