Fine-tuned Text Summarization Using PyTorch
UpSkill with Success Analytics
8 modules
English
Certificate of completion
Lifetime access
Master text summarization using PyTorch
Overview
This course is designed to provide a comprehensive understanding of fine-tuned text summarization using PyTorch, a popular deep learning framework. Whether you are a beginner or an experienced data scientist, this course will walk you through the process of training and deploying models for text summarization tasks. By the end of this course, you will have the knowledge and skills to develop highly accurate and efficient text summarization models using PyTorch.
Key Highlights
Master the principles of text summarization
Learn how to fine-tune pre-trained language models for summarization
Build end-to-end text summarization pipelines
Explore techniques to evaluate and improve text summarization models
What you will learn
Understand the fundamentals
Grasp the principles of text summarization and its applications in various industries.
Fine-tuning pre-trained models
Learn how to leverage pre-trained language models and adapt them for text summarization tasks.
Building summarization pipelines
Gain practical experience in designing and implementing end-to-end text summarization pipelines using PyTorch.
Evaluating and improving models
Explore techniques to evaluate the performance of text summarization models and enhance their accuracy and efficiency.
Modules
Course & Mentor Introduction
7 attachments • 13.84 mins
Mentor Introduction
Project Overview
Problem Statement
Course Prerequisites
project Building Approaches
Existing Solution
Project Setup
Project Pipeline Building
6 attachments • 1 hrs
New Environment Creation For Text Summarizer
Template File Text Summarizer
Setup File Understanding
Logger File Understanding & Implementation
Exception File Understanding & Implementation
Project Pipeline Exploration
Training & Implementation
8 attachments • 3 hrs
Pipeline - Data Ingestion
Model Training Part - 1 ( News Dataset Calling )
Model Training Part - 2 ( Data Loder )
Model Training Part 3 ( Finetuning )
Pipeline - Model Training
Pipeline - Model Evaluation
Pipeline - Model Pusher
Prediction Pipeline
Web Application Implementation
5 attachments • 53.69 mins
API - Web Application
Introduction To Flask
Flask Part 2
Hands-on Application Building
Hands-on Application Testing
Resources
1 attachment • 1 mins
Project_Resources
Project Enhancement
4 attachments • 4 mins
Enhancement of our Project
How to Add this project in your resume
How to Explain during Interview
Conclusion
Assignment
1 attachment
Assignment
Internship Project
1 attachment
Internship Project
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
FAQs
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Can I access the course materials on any device?
Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
UpSkill with Success Analytics
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₹ 499.00
₹2500
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