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Epoches

#	Train Size	Loss	Correct	Tests	Accuracy	Cost	Income
0	60,000	0.64	8,637	10,000	86.37%	2,803,756	41,512,368
1	60,000	0.40	8,833	10,000	88.33%	2,803,756	47,495,163
2	60,000	0.31	8,888	10,000	88.88%	2,803,756	49,297,429
3	60,000	0.27	8,941	10,000	89.41%	2,803,756	51,087,725
4	60,000	0.24	8,984	10,000	89.84%	2,803,756	52,579,743
5	60,000	0.22	9,011	10,000	90.11%	2,803,756	53,535,016
6	60,000	0.20	9,028	10,000	90.28%	2,803,756	54,143,871
7	60,000	0.19	9,050	10,000	90.50%	2,803,756	54,940,356
8	60,000	0.19	9,065	10,000	90.65%	2,803,756	55,488,993
9	60,000	0.18	9,073	10,000	90.73%	2,803,756	55,783,462
10	60,000	0.17	9,085	10,000	90.85%	2,803,756	56,227,605
11	60,000	0.17	9,093	10,000	90.93%	2,803,756	56,525,335
12	60,000	0.16	9,102	10,000	91.02%	2,803,756	56,861,850
13	60,000	0.16	9,112	10,000	91.12%	2,803,756	57,237,712
14	60,000	0.16	9,118	10,000	91.18%	2,803,756	57,464,221
15	60,000	0.15	9,130	10,000	91.30%	2,803,756	57,919,481
16	60,000	0.15	9,134	10,000	91.34%	2,803,756	58,071,901
17	60,000	0.15	9,136	10,000	91.36%	2,803,756	58,148,236
18	60,000	0.15	9,138	10,000	91.38%	2,803,756	58,224,654
19	60,000	0.15	9,146	10,000	91.46%	2,803,756	58,531,166
20	60,000	0.14	9,144	10,000	91.44%	2,803,756	58,454,413
21	60,000	0.14	9,149	10,000	91.49%	2,803,756	58,646,455
22	60,000	0.14	9,153	10,000	91.53%	2,803,756	58,800,466
23	60,000	0.14	9,160	10,000	91.60%	2,803,756	59,070,798
24	60,000	0.14	9,162	10,000	91.62%	2,803,756	59,148,226