Weekly update (10/21 – 10/27)

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In the past week, I was finally able to get my MLP classifier to train and test with the IBC dataset without any error. The average result so far is at 66% with a standard-parameterized MLP in sci-kit learn. In the next week I hope to dig more into this to improve the result by using different, more suitable parameters and optimization functions for this task. I have also worked on the first draft of my paper and sent it to my adviser for feedbacks. The feedback is positive, the paper is submittable but we will talk more about how to improve it during our one-on-one this Friday. Overall it has been a productive week in terms of both my project progress and my paper.

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