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Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent.

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Higher Order of Vectorization in Backpropagation in Neural Network

$\frac{\partial \mathcal{L}}{\partial W^{[2]}}$ must be 2x3 as just like dimensions of $ W^{[2]}$. I suggest you to use the backprop formulas (and notation) given in Nielsen's book. When the networks …
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