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Note on the files of the project for each folder:

FeedForward:

  • classification.py: train the feedforward neural net to predict match result. Example of save/load trained model to/from disk
  • regression.py: train the feedforward neural net to predict probability of winning the match

CNN:

  • project2.py: implement the convolutional neural network that predicts hand outcome
  • TestModel.py: test a trained model

Gin_Rummy_Python: port Gin Rummy java code into Python

  • GinRummyTournamentAI.py: version of GinRummyTournament that use the trained neural network
  • GinRummyTournament.py: original version that use 2 heurestic players

Data can be found at: https://drive.google.com/drive/folders/12eGlFwO6_YvPrC7tqYOEZHmO4BqXucYY?usp=sharing