This workshop will cover the basis of Neural Networks and modern deep learning, paying heavy emphasis to the mathematical foundation while also providing coding examples and exposing the audience to the PyTorch machine learning API for fast and easy model development. We will cover the mathematical foundations of perceptrons, layers, backpropagation and computational graphs, as well as discussing how these abstract concepts are concretely implemented in modern machine learning libraries.
Please fill the sign-up sheet below https://forms.gle/cVtJpZYyQNsJDKqM9
- While in your command line, move to a directory that you want to clone the workshop into.
- Simply type
git clone https://github.com/delug/Workshop4.gitin your command line to clone the repository - Run
jupyter notebookand navigate to where you cloned the workshop repository - Open the notebook and enjoy!
Note: Before the workshop, please make sure you have the most up-to-date version of this repository. This can be assured by running git pull
within the repository close to the workshop day. Preferably the day of, just to be safe!
Before coming to the workshop, please ensure that you have the following softwares downloaded:
- Python (We recommend downloading Python along with Anaconda: https://www.anaconda.com/distribution/)
- Jupyter (https://jupyter.org/install)
- Git (https://git-scm.com/downloads)
- PyTorch (https://pytorch.org/)
- Torchsummary (
pip install torchsummary)
Deep Learning at UGA is a club that began as a small organization and is rapidly expanding to service as many people as possible. This is a difficult task, as we're often breaking new ground and sometimes it shows. We want to ensure that everything we offer is of the highest possible quality, but that requires help from you! If you've got a spare second, it would mean a lot if you could take the survey below to share your feedback with us. We go through every single response and work to meet your needs. Please fill out the survey in the link below!