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Questions tagged [cs231n]

cs231n is a Convolutional Neural Networks for Visual Recognition course offered at Stanford University.

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Affine layer - gradient shape

In course cs231n, I need to implement backward pass computation for an affine (linear) layer: ...
Ben Lahav's user avatar
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Understanding backprop for softmax

I'm looking on a given solution of the first assignment of cs231n course. Down below a snippet from the loss function. I don't really understand lines 140-143. Can ...
IsaacLevon's user avatar
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What does it mean to 'gradient check a few dimensions for every separate parameter'?

In lecture notes for cs231n while discussing checking analytical gradient with numerical gradient the paragraph says this: Check only few dimensions. In practice the gradients can have sizes of ...
figs_and_nuts's user avatar