These are the exercise files used for WSQ - Pattern Recognition with Deep Learning course.
The course outline can be found in
https://www.tertiarycourses.com.sg/wsq-pattern-recognition-deep-learning.html
Topic 1 Image Recognition with CNN
- Introduction to Convolutional Neural Network (CNN)
- Convolution & Pooling
- Build a CNN Model for Image Recognition
Topic 2 Overfitting for Small Datasets
- Overfitting and Underfitting
- Methods to Solve Overfitting
- Small Dataset Overfitting Issue
- Data Augmentation & Dropout
Topic 3 Functional Keras API
- What is Functional API
- Create Sequential Model with Functional API
- Create Non-Sequential Models with Functional API
Topic 4 Transfer Learning for Small Datasets
- Introduction to Transfer Learning
- Pre-trained Models
- Transfer Learning on Small Dataset
Topic 5 Text Classification with RNN
- Introduction to Recurrent Neural Network (RNN)
- Types of RNN Architectures
- LSTM and GRU
- Word Embedding
- Build a RNN Model for Text Classification
Mode of Assessment
- Written Assessment (Q&A)
- Practical Performance
- Oral Questioning