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
In this 2-hour long tutorial, 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.
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
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
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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.)
Good instructor, however anyone join this must have at least a knowledge in basic Python Programming and have learned about BERT and fundamental of Natural Language Processing
The project and concepts exposed were good , But more explanations of libraries and comments for some lines of code will be welcome. Despite these, I learned a lot.
Thanks to Mr.Ari Anastassiou Sentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it
What will I get if I purchase a Guided Tutorial?
By purchasing a Guided Tutorial, you'll get everything you need to complete the Guided Tutorial 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.
Are Guided Tutorials available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Tutorials are not available on your mobile device.
Who are the instructors for Guided Tutorials?
Guided Tutorial 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.
Can I download the work from my Guided Tutorial after I complete it?
You can download and keep any of your created files from the Guided Tutorial. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
What is the refund policy?
Is financial aid available?
Financial aid is not available for Guided Tutorials.
Can I audit a Guided Tutorial and watch the video portion for free?
Auditing is not available for Guided Tutorials.
How much experience do I need to do this Guided Tutorial?
At the top of the page, you can press on the experience level for this Guided Tutorial to view any knowledge prerequisites. For every level of Guided Tutorial, your instructor will walk you through step-by-step.
Can I complete this Guided Tutorial right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Tutorial will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Tutorials?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
More questions? Visit the Learner Help Center.