Deep Learning Training
Training resources for an introduction to deep learning using Pytorch.
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
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
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
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.