DLTraining

View the slides for this training here

Installation Instructions

Make sure that miniconda is installed.

Setup the Conda environment

conda env create -f environment.yml

Lessons

Intro To ANNs{:target="_blank"}

In this lesson we will cover the basics of Artificial Neural Networks, the important math behind how and why they work and then do a quick survey of common types of ANNs and what they are used for.

Intro To Pytorch{:target="_blank"}

We will begin to cover the basics of Pytorch and its core components. We will then look at how these components can be used to create a computation graph and how the Optim package allows us to backpropagate through it.

Hands on with Pytorch{:target="_blank"}

The notebooks provided in the repo show a simple example of using deep learning to solve the classification problem with the MNIST and FashionMNIST datasets.

Convolutional Neural Networks (Work in Progress){:target="_blank"}