第2题-路由器资源预测的批量梯度下降参数训练

Status	Submit By	Time	Memory	Language	Code	Submit At
AC	eVV8nqgdAz	3607ms	13.8 MiB	Python 3	2 KiB	2026-8-18 23:17:56
AC	WecqE06zWw	3615ms	17.1 MiB	Python 3	2.1 KiB	2026-5-9 21:21:51
AC	敏锐的流星	3630ms	17.6 MiB	Python 3	1.4 KiB	2026-9-17 15:29:55
AC	9HTYp4w3SR	3704ms	18.7 MiB	Python 3	1.9 KiB	2026-4-11 16:01:16
AC	XlPzQMW6jL	3773ms	126 MiB	Java	3.4 KiB	2026-6-11 21:51:42
AC	auto_water	3781ms	38.1 MiB	Python 3	1.4 KiB	2026-4-13 14:31:13
AC	6WKzdgPoBl	3818ms	125.3 MiB	Java	2.9 KiB	2026-4-14 20:50:16
AC	NLSspQ7NVF	3860ms	15.9 MiB	Python 3	1.8 KiB	2026-4-20 16:39:54
AC	bZcAZJ7sgd	3932ms	129.2 MiB	PyPy3	2.2 KiB	2026-4-15 20:42:57
AC	yison	3937ms	14.1 MiB	Python 3	2 KiB	2026-6-9 15:42:26
AC	chchch2359	3966ms	17.4 MiB	Python 3	2.1 KiB	2026-7-2 9:32:52
AC	ZVOeOt3BrF	3978ms	41.1 MiB	Python 3	1.8 KiB	2026-6-3 16:42:40
AC	dYYK2vl4kk	4020ms	15.6 MiB	Python 3	2.4 KiB	2026-4-15 16:23:32
AC	4VS8xwzqKY	4044ms	41.4 MiB	Python 3	2.5 KiB	2026-6-23 23:27:45
AC	hkdErAlSaB	4058ms	14.7 MiB	Python 3	3 KiB	2026-4-8 22:09:25
AC	CodeFunba006b884c	4084ms	16.2 MiB	Python 3	2.5 KiB	2026-4-9 17:01:31
AC	S0rkNUSwxf	4163ms	17.5 MiB	Python 3	2 KiB	2026-4-11 19:45:15
AC	uYs0cCFgbz	4190ms	17.4 MiB	Python 3	3.7 KiB	2026-4-18 17:08:37
AC	KA64DbLOHi	4246ms	16.5 MiB	Python 3	2.6 KiB	2026-4-14 20:43:08
AC	sROOUBv8tT	4302ms	37.7 MiB	Python 3	1.4 KiB	2026-5-13 0:41:56
AC	Anon Tokyo	4324ms	17.2 MiB	Python 3	2.5 KiB	2026-4-14 23:03:35
AC	louie	4415ms	16.5 MiB	Python 3	2.2 KiB	2026-4-15 18:45:45
AC	xugualong	4424ms	15.9 MiB	Python 3	2.1 KiB	2026-5-18 22:51:44
AC	CodeFune4abdb8273	4456ms	18.2 MiB	Python	1.7 KiB	2026-8-7 12:48:39
AC	RomX4C4ocs	4460ms	35.5 MiB	Python 3	1.4 KiB	2026-5-19 22:29:37
AC	hasFXtD645	4494ms	18.2 MiB	Python 3	1.6 KiB	2026-5-11 16:40:46
AC	bQOVY807is	4600ms	17.8 MiB	Python 3	1.9 KiB	2026-4-16 15:11:54
AC	Obybm1cgsH	4674ms	15.7 MiB	Python 3	1.6 KiB	2026-4-14 14:16:15
AC	CodeFun6e39b18b04	4696ms	18.2 MiB	Python 3	3 KiB	2026-4-15 0:40:47
AC	wKC46D9PmS	4706ms	16.6 MiB	Python 3	2.2 KiB	2026-4-22 15:20:47
AC	aQJh13CvuD	4744ms	128.8 MiB	Java	3 KiB	2026-4-12 17:04:04
AC	Q4ZmnMNib0	4898ms	16.4 MiB	Python 3	2.2 KiB	2026-4-27 21:32:41
AC	6LYW6QRjeI	4934ms	13.7 MiB	Python 3	2 KiB	2026-6-8 14:57:34
AC	aMsZTo3Z1s	4963ms	18 MiB	Python	2.4 KiB	2026-6-2 16:52:57
AC	JGe6Ix9zlR	4980ms	130.8 MiB	Java	3 KiB	2026-4-9 6:14:47
AC	nnwfSxAoHO	5003ms	132.9 MiB	Java	3.4 KiB	2026-6-2 14:26:14
AC	4AZSQ06IvS	5033ms	14.1 MiB	Python 3	1.7 KiB	2026-4-12 13:05:41
AC	CodeFun1f605aa714	5043ms	134 MiB	Java	2.6 KiB	2026-4-13 13:43:09
AC	nTfNInx74Q	5051ms	131.9 MiB	Java	3.4 KiB	2026-4-21 16:49:54
AC	MarCCC	5075ms	16.4 MiB	Python 3	1.6 KiB	2026-6-30 18:35:47
AC	aksa92	5111ms	171.1 MiB	Java	2.2 KiB	2026-4-11 22:29:48
AC	o0rLM8rS6R	5138ms	137.4 MiB	Java	3 KiB	2026-4-19 11:28:21
AC	9OlG5tkGV8	5150ms	14.1 MiB	Python 3	2.2 KiB	2026-5-8 1:05:45
AC	rQM5AB5ykD	5196ms	14.5 MiB	Python 3	2 KiB	2026-8-13 20:44:00
AC	刘	5209ms	16.1 MiB	Python 3	2.2 KiB	2026-4-9 14:02:06
AC	CodeFuna89a099655	5252ms	16.8 MiB	Python 3	2.1 KiB	2026-4-14 21:40:14
AC	YFfxw3pf06	5282ms	15.7 MiB	Python 3	2.1 KiB	2026-7-10 14:38:31
AC	YbtvyAsABH	6150ms	39 MiB	Python 3	2 KiB	2026-4-15 13:48:00