二、神經網絡基本結構-深度學習EECS498/CS231n

why RELU works? Vector Derivation But Jacobian is sparse: off-diagonal entries are all zero! Never explicitly form Jacobian. 結果我們發現，dy/dx_1,1 = [3,2,1,-1]其恰好是w的第一行，故而不需要顯性地進行求解。 d L / d x i , j = ( d

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