Deep Averaging Network for Question Answering

Deep Averaging Network Project

This project involves building a deep learning averaging network specifically designed to answer question-answering (QA) tasks with high accuracy.

Key Achievements:

• High Accuracy: Achieved over 92% accuracy on QA questions
• Deep Learning Architecture: Implemented averaging network approach for text understanding
• Question Answering: Specialized for natural language QA tasks
• Performance Optimization: Fine-tuned for optimal accuracy metrics

Technologies Used:

• Python
• PyTorch
• Natural Language Processing
• Deep Learning

This work demonstrates effective application of averaging networks to natural language understanding tasks, particularly in the domain of question answering systems.