0 [ 0.31494665 0.33602586] [ 0.84270978]
10 [ 0.19601417 0.17301694] [ 0.47917289]
20 [ 0.23550016 0.18053198] [ 0.44838765]
30 [ 0.26029009 0.18700737] [ 0.43032286]
40 [ 0.27547371 0.19152154] [ 0.41897511]
50 [ 0.28481475 0.19454622] [ 0.41185945]
60 [ 0.29058149 0.19652548] [ 0.40740564]
70 [ 0.2941508 0.19780098] [ 0.40462157]
80 [ 0.29636407 0.1986146 ] [ 0.40288284]
90 [ 0.29773837 0.19913 ] [ 0.40179768]
100 [ 0.29859257 0.19945487] [ 0.40112072]
110 [ 0.29912385 0.199659 ] [ 0.40069857]
120 [ 0.29945445 0.19978693] [ 0.40043539]
130 [ 0.29966027 0.19986697] [ 0.40027133]
140 [ 0.29978839 0.19991697] [ 0.40016907]
150 [ 0.29986817 0.19994824] [ 0.40010536]
160 [ 0.29991791 0.1999677 ] [ 0.40006563]
170 [ 0.29994887 0.19997987] [ 0.40004089]
180 [ 0.29996812 0.19998746] [ 0.40002549]
190 [ 0.29998016 0.19999218] [ 0.40001586]
200 [ 0.29998764 0.19999513] [ 0.40000987]
可以看到，随着训练的进行，w 和 b 也慢慢接近真实的值，拟合越来越精确，接近正确的值。