My interest lies at the intersection of NLP and Deep Learning. I am currently working on PaddlePaddle at Baidu. Prior to that, I have had the fortune of working at SenseTime, Twitter Cortex and Autodesk.
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About weights tuning
Sorry, I really don't understand how your weights tuning algorithm work. It seems that the result of np.linalg.lstsq(featureMatrix, scoreVector) is just the current weight vector. How does the model learn which kind of weights is more possible to win the game?
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