BP Algorithm In the case of learning sample by sample: 0,(n) d,(n) y,m）y,(n) e,(n) y(n)○ ○ p,(n) The gradient of at nth iteration is: E(n) 50=e,mp心m@BP Algorithm ◼ In the case of learning sample by sample: ◼ The gradient of E(n) at nth iteration is: v (n) j y (n) i (n)  j y (n) j d (n) j e (n) j w (n) ji ( ) ( ( )) ( ) ( ) ( ) e n v n y n w n E n j j j i ji = −    (n)  j