YoVDO

Fine-Tune T5 for Document Classification - Part 1: Creating Dataset with Web Scraping

Offered By: The Machine Learning Engineer via YouTube

Tags

Web Scraping Courses Machine Learning Courses Python Courses Document Classification Courses T5 Courses Fine-Tuning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to personalize a Flan-T5 model for document classification using your own dataset in this 16-minute tutorial. Discover the process of collecting information from DuckDuckGo using a web scraper, focusing on the first part of creating a custom dataset. Explore the provided Python script on GitHub to understand the implementation details of the web scraping technique. Gain valuable insights into preparing data for fine-tuning a T5 model, setting the foundation for improved document classification tasks.

Syllabus

Fine Tune T5 for Document Classification Part 1 (Create Dataset / Web Scrapping )


Taught by

The Machine Learning Engineer

Related Courses

Gen AI Foundational Models for NLP & Language Understanding
IBM via Coursera Using Specialized Processors with Document AI (Python)
Google Cloud via Coursera Getting Started with Amazon Comprehend: Custom Classification (Indonesian)
Amazon Web Services via AWS Skill Builder Getting Started with Amazon Comprehend: Custom Classification (Traditional Chinese)
Amazon Web Services via AWS Skill Builder BLIE-227 Document Processing Practice
Swayam