Description: Deep learning has been getting lots of attention from many different fields including business/finance, image handling and even science simulation. 2-Day Deep learning foundation course is recommended for who wants to actually program it. The course will proceed with presentation and live demonstration using Google Colab and eventually will help the student to run his/her code on Graham cluster in Compute Canada. Day 1 will cover Multivariable linear regression and MNIST image classification using linear and Multi-Layer Perceptron (MLP) including some techniques to avoid overfitting. Day 2 will cover CIFAR10 image classification with Convolutional Neural Network and a simple example with Recurrent Neural Network. All coding will be done using Google Colab in Python 3 and PyTorch 1.8.
Length: 2 days
Prerequisite knowledge: Basic knowledge on Python and object oriented programming.
- Teacher: Isaac Ye