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Results tagged with Search options user 10278

Measure of distance between distributions or variables, such as Euclidean distance between points in n-space.

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You can train a network with any loss function you like. Thus, approach 1, you can create a loss function that pushes the network to ensure that the distance between pairs in a mini-batch in the … those (same number of pairs each mini-batch, eg sampled randomly). As far as creating a non-linear network that is guaranteed to preserve distance, an approach 2, I think one approach could be to build …
answered Jun 15 '18 by Hugh Perkins