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Epoches

#	Train Size	Loss	Correct	Tests	Accuracy	Cost	Income
0	60,000	0.64	8,651	10,000	86.51%	3,796,080	41,917,741
1	60,000	0.40	8,813	10,000	88.13%	3,796,080	46,853,562
2	60,000	0.32	8,901	10,000	89.01%	3,796,080	49,731,642
3	60,000	0.27	8,956	10,000	89.56%	3,796,080	51,604,135
4	60,000	0.24	8,997	10,000	89.97%	3,796,080	53,037,900
5	60,000	0.22	9,038	10,000	90.38%	3,796,080	54,504,708
6	60,000	0.21	9,055	10,000	90.55%	3,796,080	55,122,731
7	60,000	0.20	9,071	10,000	90.71%	3,796,080	55,709,723
8	60,000	0.19	9,085	10,000	90.85%	3,796,080	56,227,605
9	60,000	0.18	9,090	10,000	90.90%	3,796,080	56,413,533
10	60,000	0.18	9,102	10,000	91.02%	3,796,080	56,861,850
11	60,000	0.17	9,104	10,000	91.04%	3,796,080	56,936,857
12	60,000	0.17	9,118	10,000	91.18%	3,796,080	57,464,221
13	60,000	0.16	9,132	10,000	91.32%	3,796,080	57,995,649
14	60,000	0.16	9,145	10,000	91.45%	3,796,080	58,492,779
15	60,000	0.16	9,154	10,000	91.54%	3,796,080	58,839,022
16	60,000	0.16	9,156	10,000	91.56%	3,796,080	58,916,196
17	60,000	0.15	9,155	10,000	91.55%	3,796,080	58,877,599
18	60,000	0.15	9,165	10,000	91.65%	3,796,080	59,264,526
19	60,000	0.15	9,171	10,000	91.71%	3,796,080	59,497,697
20	60,000	0.15	9,175	10,000	91.75%	3,796,080	59,653,569
21	60,000	0.15	9,179	10,000	91.79%	3,796,080	59,809,781
22	60,000	0.14	9,180	10,000	91.80%	3,796,080	59,848,888
23	60,000	0.14	9,183	10,000	91.83%	3,796,080	59,966,334
24	60,000	0.14	9,182	10,000	91.82%	3,796,080	59,927,164