While completing my Msc program at DMU I decided to share my entire learning note for people who wish to gain more theoretical knowledge of deep learning and NLP.
This repository contains all the lecture notes and lab works for neural networks and NLP classes.
We used MATLAB for neural systems and Python for NLP.
- At the end of this Module you will be expected to
- Understand Neural network architecture.
- Understand the theoretical basics of NN and Implement new networks
- Be able to solve supervised and unsupervised learning problems and draw opinions
- Solve NLP problems using a classical approach with nltk or spacy.
- Build a generative AI system
- Implement a robust NLP-based chat system.
The folder is structured in a way where the lab work notes and research papers studied for that lab is displayed. we have 20 lab sessions and 20 classes for the course of this study.
- Neural Networks
- labs
- class notes
- research papers
- Natural Language Processing
- labs
- class notes
- research papers