Recent Developments in Deep Learning
1:05:18
Added: 1 year ago
From: GoogleTechTalks
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  • NERDS!!

    killgreed 2 months ago

  • great talk

    j27cn49s 8 months ago

  • tldnw

    Shizzmonger 11 months ago

  • Comment removed

    j27cn49s 8 months ago

  • For those who have difficulties to understand this: the method is based on mapping inputs (images) to a sparse output which is easier to classify for a NN or a SVM. The improvement is based on adding a new mapping from images to the variance of those images. This way, there is more information so classifiers (NN and SVM) are better at predicting.

    paucarre 1 year ago

  • 1:05:08 Monster

    FastFootElectro 1 year ago

  • oh gosh this brings back memories of university... though I was interested in the material.. I wish I spent more time applying this instead of sitting in a lecture.

    Mark7BD 1 year ago 6

  • codifying learning is a tricky question it turns out, keep up the good work!

    coastwalker 1 year ago 9

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