Day to Day in the REU
Attempt to apply new layers to deep learning model.
Implement unsupervised (K-means) machine learning.
Extract Type-I and Type-II errors for each machine learning model.
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This blog is dedicated to report the day to day activities encountered by our team throughout the ten weeks we spend at Oakland University.
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