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conv_dataset_gen.py is used to generate dataset (Used dataset could not be uploaded as it is too large)
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conv_deep_learning.py is used to train model (trained_conv_net_3 is a pretrained model)
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main.py contains the main algorithm which takes in target and outputs solution
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performance_test_v2.py tests algorithm by importing main.py and running solution with a generated target, visually displaying the results results and the runtime
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Tetriling Puzzl Report.odt is a report explaining how the algortihm works