These are the exercise files used for WSQ - Predictive Modelling with Pytorch course.
The course outline can be found in
https://www.tertiarycourses.com.sg/wsq-predictive-modeling-pytorch.html
Topic 1 Overview of Deep Learning and Pytorch
- Overview of Deep Learning
- Introduction to Pytorch
- Install and Run Pytorch
- Basic Pytorch Tensor Operations
- Computation Graphs
- Compute Gradients with Autograd
Topic 2 Neural Network for Regression
- Introduction to Neural Network (NN)
- Activation Function
- Loss Function and Optimizer
- Machine Learning Methodology
- Build a NN Predictive Regression Model
- Load and Save Model
Topic 3 Neural Network for Classification
- Softmax
- Cross Entropy Loss Function
- Build a NN Classification Model
Topic 4 Convolutional Neural Network for Pattern Recognition
- Introduction to Convolutional Neural Network (CNN)
- Convolution & Pooling
- Build a CNN Model for Pattern Recognition
Topic 5 Data Visualization with Tensorboard
- Set up TensorBoard
- Inspect a model architecture using TensorBoard
- Create interactive Visualizations
Mode of Assessment
- Written Assessment (Q&A)
- Written Assessment (PP)