Sentiment Analysis with Deep Learning using BERT

Aperçu

Join our comprehensive workshop, "Sentiment Analysis with Deep Learning using BERT," and embark on a 2-hour project-based learning journey. This course is tailored to equip you with the expertise to perform sentiment analysis on a dataset effectively.

Discover how to import a PyTorch BERT model and fine-tune its architecture for multi-class classification tasks. Gain insights on optimizing the model's performance by adjusting the optimizer and scheduler.

Through hands-on training, you will master the art of designing a training and evaluation loop, enabling you to closely monitor the model's performance throughout the training process.

This includes crucial skills like saving and loading models for future use. By the end of this workshop, you will have created your own Sentiment Analysis model, harnessing the power of BERT's extensive language understanding capabilities.

Designed for learners in North America, this course is brought to you by Coursera and falls under several categories including Deep Learning Courses, Sentiment Analysis Courses, and BERT Courses.

We are eager to extend this learning experience to other regions soon. Don't miss this opportunity to advance your skills in the cutting-edge field of sentiment analysis.

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Enseigné par

Ari Anastassiou

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