GitHub - noahratliff/Behavioral-AI: Create 64 different feed-forward multi-layer perceptrons and compares their accuracy on simulated human behavior data set within a household. Best testing accuracy of 88.58%.

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Create 64 different feed-forward multi-layer perceptrons and compares their accuracy on simulated human behavior data set within a household. Best testing accuracy of 88.58%.

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MLP-training-graph.png		MLP-training-graph.png
RoomTempMLS-NN.py		RoomTempMLS-NN.py
all-models-training.png		all-models-training.png
top-model-training.png		top-model-training.png

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Create 64 different feed-forward multi-layer perceptrons and compares their accuracy on simulated human behavior data set within a household. Best testing accuracy of 88.58%.

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