Understanding Convolution in Deep Learning (2015)

Re:Understanding Convolution in Deep Learning (2015) by YetAnotherNick on Tuesday September 08, 2020 @09:58AM (#24408400)

Try to first understand before commenting

Convolution of f and g at t is:

    integration of f(x) * g(t - x)

Cross correlation(which is termed convolution in DL) at t is:

    integration of f(x) * g(t + x)

See the figure in the wikipedia page you shared.

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Re:Understanding Convolution in Deep Learning (2015) by srean on Wednesday September 09, 2020 @06:23AM (#24419472)

I dont see why this comment was downvoted so much.

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