This workshop will cover the PyTorch implementation of various common machine learning functions and modules, including simple dense feedforward layers, convolutional layers, up/downsampling layers, sigmoid/tanh/ReLU activaiton functions. Special care will be taken to discuss material in an implementation-first way, with respect to the PyTorch library.
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/Workshop5.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)
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