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

Melhores avaliações

AA

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.

VS

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 — 32 de 32 Avaliações para o Fine Tune BERT for Text Classification with TensorFlow

por Jorge G

25 de fev de 2021

por Araz S

23 de mai de 2022

por Yanfei C

19 de jun de 2021

por Kleider S V G

4 de mar de 2022

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6 de jun de 2021

por Carolina A Q

4 de jun de 2022

por Thierry C

25 de set de 2022