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.
Sentiment Analysis with Deep Learning using BERT
Sentiment Analysis with Deep Learning using BERT
Instructor: Ari Anastassiou
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4.4
(394 reviews)
Intermediate level
Recommended experience
120 minutes
Learn at your own pace
Hands-on learning
What you'll learn
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
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
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
Creating our Training Loop
Loading and Evaluating our Model
Recommended experience
Intermediate Python users with some exposure to NumPy, Pandas, and PyTorch.
2 project images
Instructor
Instructor ratings
4.5 (31 ratings)Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
4.4
394 reviews
- 5 stars
62.27%
- 4 stars
25.82%
- 3 stars
7.84%
- 2 stars
2.02%
- 1 star
2.02%
Showing 3 of 394
DB
4
Reviewed on Nov 17, 2021
The course covered the material well. Helpful to do the exercises side by side. I feel the course does require prior knowledge of pyTorch and BERT also.
SB
4
Reviewed on Jun 4, 2020
Need major improvement with the interactive notebook along with its response time and UI
SN
5
Reviewed on Apr 29, 2021
Thanks, Ari Anastassiou for the wonderful tutorial. Hoping you do a complete course on NLP using BERT soon.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.