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[R] Differentiable Neural Computer Memory Testing Using dSprites

Some independent research I conducted in testing what’s going on in the memory of the DNC when trained to learn a predictive model of the environment for Reinforcement Learning. Unfortunately, the experiments didn’t find anything strongly positive. The memory appears to be a black-box, at least when examined in this way. Read more at: http://blog.adeel.io/2019/03/10/differentiable-neural-computer-memory-testing-using-dsprites/

Would love to hear the thoughts of the ML community.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.