Sentiment Analysis with Deep Learning using BERT
4.7 /5- Offered byCoursera
Sentiment Analysis with Deep Learning using BERT at Coursera Overview
Sentiment Analysis with Deep Learning using BERT
at Coursera
Learn how to analyze a dataset for sentiment analysis from this step by step guided project
Duration | 2 hours |
Total fee | ₹729 |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Sentiment Analysis with Deep Learning using BERT at Coursera Highlights
Sentiment Analysis with Deep Learning using BERT
at Coursera
- Get all learning materials, including the interactive workspace and final quiz
- Get instant access to the necessary software packages through Rhyme
- A split-screen video walkthrough of each step, from a subject-matter expert
- Get free download of what students will create
- Ability to access your cloud desktop across six different sessions
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Sentiment Analysis with Deep Learning using BERT at Coursera Course details
Sentiment Analysis with Deep Learning using BERT
at Coursera
Skills you will learn
Who should do this course?
- For learners who are based in the North America region
What are the course deliverables?
- Preprocess and clean data for BERT Classification
- Load in pretrained BERT with custom output layer
- Train and evaluate finetuned BERT architecture on your own problem statement
More about this course
- Students will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification.
- Learn how to adjust an optimizer and scheduler for ideal training and performance
- In fine-tuning this model, learn how to design a train and evaluate loop to monitor model performance as it trains, including saving and loading models
- Finally, build a Sentiment Analysis model that leverages BERT's large-scale language knowledge
Sentiment Analysis with Deep Learning using BERT at Coursera Curriculum
Sentiment Analysis with Deep Learning using BERT
at Coursera
Introduction to BERT and the problem at hand
Exploratory Data Analysis and Preprocessing
Training/Validation Split
Loading Tokenizer and Encoding our Data
Setting up BERT Pretrained Model
Creating Data Loaders
Setting Up Optimizer and Scheduler
Defining our Performance Metrics
Sentiment Analysis with Deep Learning using BERT at Coursera Faculty details
Sentiment Analysis with Deep Learning using BERT
at Coursera
Ari Anastassiou
He is a recent graduate from the University of Edinburgh, with my MSc in Artificial Intelligence. He is passionate about using AI to drive innovation and intelligent decision making at a business and societal level. While his primary field of expertise is natural language processing, he has a keen interest in machine learning at large, and finding innovative methods of using it to solve complex, real-world problems
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Learning Experience: Learning experience was good
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Other: Course is Interactive and explanation format is good with usage of tools.
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Sentiment Analysis with Deep Learning using BERT
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