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Learner Reviews & Feedback for Sentiment Analysis with Deep Learning using BERT by Rhyme

4.7
stars
24 ratings
3 reviews

About the Course

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....
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1 - 4 of 4 Reviews for Sentiment Analysis with Deep Learning using BERT

By Shanshan W

May 18, 2020

The instructor explains very well on how to using bert to train a sentiment classifier. Very cool project.

By Rishabh R

May 06, 2020

Excellent

By Syed A G S

May 16, 2020

its very helpful and very good

By Mogan P K

May 25, 2020

More explanations on the functions and libraries used will make this project better