Sentiment Analysis with Deep Learning using BERT

Resource history | v1 (current) | created by coursera-bot on Jun 30, 2020

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Title: Sentiment Analysis with Deep Learning using BERT
Type: Course
Created: no value
Description: 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.
Link: https://www.coursera.org/learn/sentiment-analysis-bert
Identifier: no value

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v1 | attached by janarez on Sep 25, 2020 | Add resource "Deep Learning"

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