Neural Networks Workshop (Lessons 4-5)

Online lessons:

• Lesson 4 (Neural Networks, Architecture)
• Lesson 5 (Neural Networks, Training)

Workshop date: October 16, 2017

Workshop Outline:

1. Backpropagation code review (backprop.py)
2. Coding portion 1: MNIST Handwritten Digits (mnist-nn-incomplete.ipynb)
3. Coding portion 2: Fashion-MNIST (fashion-nn-incomplete.ipynb)

Before Workshop:

• Download repository files, add to your working directory
• Navigate to workshop directory
• Activate environment: source activate caispp
• Install keras (deep learning library): pip install keras
• Install keras-tqdm (for progress bars): pip install keras-tqdm
• Install ipywidgets: conda install -c conda-forge ipywidgets
• Enable widgets: jupyter nbextension enable --py --sys-prefix widgetsnbextension
• Launch jupyter notebook: jupyter notebook

After Workshop:

1. Add your completed code to a repository on your own Github account
2. Create a new "issue" in the repository
3. Tag either @lucashu1, @jdormuth, or @ASzot so that we can check you off