YoVDO

Fine-Tuning BERT for Text Classification - Python Code Tutorial

Offered By: Shaw Talebi via YouTube

Tags

BERT Courses Machine Learning Courses Python Courses Transformers Courses Text Classification Courses Fine-Tuning Courses Hugging Face Courses Phishing Detection Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

Intro -
Fine-tuning -
BERT -
Text Classification -
Example Motivation -
Example Code: Fine-tuning BERT on Phishing URLs -


Taught by

Shaw Talebi

Related Courses

Sentiment Analysis with Deep Learning using BERT
Coursera Project Network via Coursera Natural Language Processing with Attention Models
DeepLearning.AI via Coursera Fine Tune BERT for Text Classification with TensorFlow
Coursera Project Network via Coursera Deploy a BERT question answering bot on Django
Coursera Project Network via Coursera Generating discrete sequences: language and music
Ural Federal University via edX