These are the exercise files used for NICF – Pattern Recognition with Pytorch course.
The course outline can be found in
https://www.tertiarycourses.com.sg/wsq-pattern-recognition-pytorch.html
Topic 1 Overview of Deep Learning Application Domains
- AI and Deep Learning Landscape
- Deep Learning Application Domains
- AI Ethnics
Topic 2 Machine Learning for Regression and Classification
- General Concepts of Machine Learning and Neural Network (NN)
- Introduction to Pytorch Framework
- Build a Regression Model Using NN
- Build a Classification Model Using NN
Topic 3 Recurrent Neural Network (RNN)
- Introduction to Recurrent Neural Network (RNN)
- Build a Temporal Sequential Model Using RNN
- Build a Sentimental Analysis Model Using RNN
Topic 4 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network (CNN)
- Build a Image Classification Model Using CNN
- Techniques to Resolve Overfitting Issue
Topic 5 Application of Machine Learning to Signal Processing
- Digital Signal Processing
- Machine Learning Classification for Signal Processing
- Evaluation of Signal Processing Performance
Mode of Assessment
- Written Assessment (Q&A)
- Written Assessment (PP)