Chevron Left
返回到 Sentiment Analysis with Deep Learning using BERT

学生对 Coursera Project Network 提供的 Sentiment Analysis with Deep Learning using BERT 的评价和反馈

373 个评分


In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In fine-tuning this model, you will learn how to design a train and evaluate loop to monitor model performance as it trains, including saving and loading models. Finally, you will build a Sentiment Analysis model that leverages BERT's large-scale language knowledge. 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....



Oct 11, 2020

Clean, clear and helpful. Thanks a lot!

Would also be nice to see the approaches to tune BERT for the particular task (e.g. custom tokenization, pre-processing of data, etc.)


Jul 27, 2020

Thanks to Mr.Ari Anastassiou

Sentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it


1 - Sentiment Analysis with Deep Learning using BERT 的 25 个评论(共 77 个)

创建者 Mona H

Jul 18, 2020

创建者 Nattapat S

Jul 28, 2020


May 25, 2020

创建者 Shanshan W

May 17, 2020

创建者 Chaeyoon K

Jul 7, 2021

创建者 Ganapathy ( K

Jul 21, 2020

创建者 John B

Jun 13, 2020

创建者 Yesica C

Sep 9, 2020

创建者 Federico C

Jun 16, 2020

创建者 Fiodar R

Oct 11, 2020

创建者 Sanathraj N

Apr 30, 2021

创建者 Phan C N

Sep 10, 2021

创建者 Ravinder S

May 30, 2020

创建者 Tadjou T

Jun 24, 2020

创建者 Unnmesh M

Jun 11, 2020

创建者 Vaibhav D

Jun 7, 2020

创建者 Siao S

May 18, 2021

创建者 Ali A

Jun 4, 2020

创建者 Vaibhav J

May 30, 2020

创建者 Matheus S

Aug 7, 2020

创建者 Oleksandra P

Jun 12, 2020

创建者 Grace G N B

Jul 28, 2020

创建者 Patil B

Sep 14, 2020