/neuralnets-workshop

Code for CAIS++ Neural Networks Workshop

Primary LanguageJupyter Notebook

Neural Networks Workshop (Lessons 4-5)

Online lessons:

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