Learn how to fine-tune BERT (110M parameters) for text classification in this 23-minute tutorial video. Walk through key concepts and example Python code for classifying phishing URLs. Explore fine-tuning techniques, understand BERT's architecture, and delve into text classification fundamentals. Gain practical insights with a real-world example of fine-tuning BERT to detect phishing URLs. Access provided resources including a blog post, GitHub repository, pre-trained model, and dataset to further enhance your understanding and implementation skills.
Overview
Syllabus
Intro -
Fine-tuning -
BERT -
Text Classification -
Example Motivation -
Example Code: Fine-tuning BERT on Phishing URLs -
Taught by
Shaw Talebi
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