hs-clock

Timeline

• August 2017 - Identify a faculty advisor and a feasible project with an appropriate scope.
• September 2017 - Complete the first presentation (roughly project requirements).
• October 2017 - Complete second presentation (roughly revised requirements and design).
• November 2017 - Project implementation and testing, schedule final public presentation.
• December 2017 - Complete final presentation and upload all documents (design artifacts) and code to course file drop box for the Project Artifacts assignment.

September

• Pull a current subset of active decks
• Begin labeling labeling
• Begin initial design on NN
• Layers, convolution (?), output function
  30 nodes per layer, 3 layers, activation=reLU, output=softmax
  https://keras.io/getting-started/sequential-model-guide/
• Set up Keras, Tensor Flow, and Flask  

October

• Begin front end work
• Flask serving static website
• Serve some JSON meta data
• Tinker with NN--layers, parameters

November

• Link back end to NN for getting up-to-date info Note: Unable to actually do this because HearthSim doesn't have even a non-public API that I can pull unlabled decks from.
• Polish front end design

December

• Clean up work
• Reach out to HearthSim to see if they’re interested in this project

NN Docker Image:
https://github.com/floydhub/dl-docker

docker run -it -p 8888:8888 -p 6006:6006 -v ~/sharedfolder:/root/sharedfolder floydhub/dl-docker:cpu bash
jupyter notebook --allow-root

Flask:
http://flask.pocoo.org/docs/0.12/quickstart/#a-minimal-application