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An induction proof of the backpropagation algorithm in matrix notation
Introductions to deep learning theory commonly present the computational architecture of neural networks in matrix form, but eschew a parallel formulation and justification of BP in the framework of matrix differential calculus.
Random field theory-based p-values: A review of the SPM implementation
P-values and null-hypothesis significance testing are popular data-analytical tools in functional neuroimaging.
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