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Epoches

#	Train Size	Loss	Correct	Tests	Accuracy	Cost	Income
0	60,000	0.63	8,650	10,000	86.50%	3,782,735	41,888,677
1	60,000	0.40	8,823	10,000	88.23%	3,782,735	47,173,453
2	60,000	0.31	8,896	10,000	88.96%	3,782,735	49,564,262
3	60,000	0.27	8,954	10,000	89.54%	3,782,735	51,535,030
4	60,000	0.24	8,997	10,000	89.97%	3,782,735	53,037,900
5	60,000	0.22	9,030	10,000	90.30%	3,782,735	54,215,878
6	60,000	0.21	9,056	10,000	90.56%	3,782,735	55,159,266
7	60,000	0.19	9,074	10,000	90.74%	3,782,735	55,820,362
8	60,000	0.19	9,086	10,000	90.86%	3,782,735	56,264,750
9	60,000	0.18	9,095	10,000	90.95%	3,782,735	56,599,972
10	60,000	0.17	9,103	10,000	91.03%	3,782,735	56,899,343
11	60,000	0.17	9,112	10,000	91.12%	3,782,735	57,237,712
12	60,000	0.17	9,120	10,000	91.20%	3,782,735	57,539,890
13	60,000	0.16	9,131	10,000	91.31%	3,782,735	57,957,555
14	60,000	0.16	9,138	10,000	91.38%	3,782,735	58,224,654
15	60,000	0.16	9,145	10,000	91.45%	3,782,735	58,492,779
16	60,000	0.15	9,152	10,000	91.52%	3,782,735	58,761,932
17	60,000	0.15	9,156	10,000	91.56%	3,782,735	58,916,196
18	60,000	0.15	9,162	10,000	91.62%	3,782,735	59,148,226
19	60,000	0.15	9,166	10,000	91.66%	3,782,735	59,303,335
20	60,000	0.15	9,168	10,000	91.68%	3,782,735	59,381,016
21	60,000	0.14	9,172	10,000	91.72%	3,782,735	59,536,633
22	60,000	0.14	9,175	10,000	91.75%	3,782,735	59,653,569
23	60,000	0.14	9,178	10,000	91.78%	3,782,735	59,770,696
24	60,000	0.14	9,184	10,000	91.84%	3,782,735	60,005,526