Install Python

If you don't yet have Python 3 on your machine, I recommend installing the Anaconda distribution. It comes packed with lots of fun goodies including Jupyter notebook.

If you already have Python but not Anaconda, you'll need to install Jupyter notebook. In your terminal, enter: pip install jupyter

Clone this project, and install its dependencies

If you installed Anaconda on Windows, open Anaconda Prompt. For everyone else open your normal terminal.

Navigate to where you want the files to go and enter:

git clone https://github.com/tamera-lanham/byfnn-workshop.git
cd byfnn-workshop
pip install -r requirements.txt
jupyter notebook

At the end it should display a URL for you to paste to your browser where you can get to Jupyter notebook.

If the above didn't work, try installing with Docker

If you couldn't get Python working on your machine, you can still install the project using Docker.

First, download and install Docker

• Docker for Mac
• Docker for Windows

Once Docker is installed and running, download the Dockerfile and use your terminal to navigate to the download location. Then enter:

docker build . -t workshop
docker run -it -p 8888:8888 workshop

If you're still having trouble, it's no big deal. Just come to the workshop with what you have and we'll help you out!

There's tons of ways to learn more about neural networks, from books to courses to online tutorials. These are a couple of links to fill in some of the gaps in the workshop, but don't be afraid to go out and learn more on your own!

• TensorFlow's neural net playground where you can interactively train a neural network
• A visual / interactive proof that a neural net can approximate any function
• An interactive tutorial about numerical optimization, including gradient descent