Chevron Left
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

4.4
estrelas
14 classificações
4 avaliações

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
15 de Nov de 2020

Excellent course for those who already has done some research on the field.

JB
6 de Out de 2020

Need More detail explanation as its a advance NLP topic.

Filtrar por:

1 — 4 de 4 Avaliações para o Fine Tune BERT for Text Classification with TensorFlow

por Anup

16 de Nov de 2020

Excellent course for those who already has done some research on the field.

por Janmejay B

7 de Out de 2020

Need More detail explanation as its a advance NLP topic.

por Valentina

19 de Nov de 2020

A complex topic explain in one day

por AJAY T

20 de Set de 2020

Nice