Tensorflow icon indicating copy to clipboard operation
Tensorflow copied to clipboard

opt4_4.py 与演示结果不一样

Open ithou opened this issue 6 years ago • 0 comments

After 0 step(s): w is 2.6, loss is 12.959999 After 1 step(s): w is 1.16, loss is 4.6655993 After 2 step(s): w is 0.296, loss is 1.679616 After 3 step(s): w is -0.22240001, loss is 0.60466176 After 4 step(s): w is -0.53344, loss is 0.21767823 After 5 step(s): w is -0.720064, loss is 0.07836417 After 6 step(s): w is -0.8320384, loss is 0.028211098 After 7 step(s): w is -0.899223, loss is 0.010155998 After 8 step(s): w is -0.9395338, loss is 0.0036561578 After 9 step(s): w is -0.9637203, loss is 0.001316215 After 10 step(s): w is -0.9782322, loss is 0.0004738369 After 11 step(s): w is -0.9869393, loss is 0.0001705816 After 12 step(s): w is -0.9921636, loss is 6.140919e-05 After 13 step(s): w is -0.99529815, loss is 2.210742e-05 After 14 step(s): w is -0.9971789, loss is 7.958537e-06 After 15 step(s): w is -0.99830735, loss is 2.8650732e-06 After 16 step(s): w is -0.9989844, loss is 1.0314506e-06 After 17 step(s): w is -0.99939066, loss is 3.7129314e-07 After 18 step(s): w is -0.9996344, loss is 1.3367425e-07 After 19 step(s): w is -0.99978065, loss is 4.811227e-08 After 20 step(s): w is -0.9998684, loss is 1.7320417e-08 After 21 step(s): w is -0.999921, loss is 6.237233e-09 After 22 step(s): w is -0.9999526, loss is 2.2454039e-09 After 23 step(s): w is -0.99997157, loss is 8.083454e-10 After 24 step(s): w is -0.99998295, loss is 2.9059777e-10 After 25 step(s): w is -0.99998975, loss is 1.0510348e-10 After 26 step(s): w is -0.99999386, loss is 3.769074e-11 After 27 step(s): w is -0.9999963, loss is 1.3656631e-11 After 28 step(s): w is -0.9999978, loss is 4.863665e-12 After 29 step(s): w is -0.9999987, loss is 1.7195134e-12 After 30 step(s): w is -0.9999992, loss is 6.004086e-13 After 31 step(s): w is -0.9999995, loss is 2.2737368e-13 After 32 step(s): w is -0.9999997, loss is 8.881784e-14 After 33 step(s): w is -0.9999998, loss is 3.1974423e-14 After 34 step(s): w is -0.9999999, loss is 1.4210855e-14 After 35 step(s): w is -0.99999994, loss is 3.5527137e-15 After 36 step(s): w is -0.99999994, loss is 3.5527137e-15 After 37 step(s): w is -0.99999994, loss is 3.5527137e-15 After 38 step(s): w is -0.99999994, loss is 3.5527137e-15 After 39 step(s): w is -0.99999994, loss is 3.5527137e-15

ithou avatar Nov 10 '19 09:11 ithou