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( b ) PCA ( N data points of D - dimension, choose d principal components ) ( c ) Neural network with architecture D

(b) PCA (N data points of D-dimension, choose d principal components)
(c) Neural network with architecture D-H1-H2-K on a mini-batch of size B(consider only the forward process and neglect the computational costs of activation functions)
[Hint: the time complexity of AinRmnBinRnl is O(mnl); the time complexities of eigenvalue decomposition and inverse of an nn matrix are both O(n3).]
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