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Bewertung und Feedback des Lernenden für Sentiment Analysis with Deep Learning using BERT von Coursera Project Network

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Über den Kurs

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....

Top-Bewertungen

FR

11. Okt. 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.)

GB

27. Juli 2020

Thanks to Mr.Ari Anastassiou

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

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