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Results tagged with backpropagation
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user 82954
For questions about the back-propagation (aka "backprop", and often abbreviated as "BP") algorithm, which is used to compute the gradient of the objective function (e.g. the mean squared error) with respect to the parameters (or weights) of the neural network, when trained with gradient descent.
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Backpropagation with rasterization step
I have an odd little problem facing me for my project.
I have a smooth polygon defined by parameters.
I have convolution transformation, similar to a Gaussian blur. This transformation can only be ap …
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