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Epoches

#	Train Size	Loss	Correct	Tests	Accuracy	Cost	Income
0	60,000	0.60	8,657	10,000	86.57%	7,662,682	42,092,479
1	60,000	0.36	8,847	10,000	88.47%	7,662,682	47,948,625
2	60,000	0.27	8,912	10,000	89.12%	7,662,682	50,101,539
3	60,000	0.23	8,972	10,000	89.72%	7,662,682	52,159,760
4	60,000	0.20	9,022	10,000	90.22%	7,662,682	53,928,325
5	60,000	0.18	9,049	10,000	90.49%	7,662,682	54,903,942
6	60,000	0.17	9,068	10,000	90.68%	7,662,682	55,599,267
7	60,000	0.16	9,081	10,000	90.81%	7,662,682	56,079,231
8	60,000	0.15	9,098	10,000	90.98%	7,662,682	56,712,082
9	60,000	0.15	9,106	10,000	91.06%	7,662,682	57,011,947
10	60,000	0.14	9,118	10,000	91.18%	7,662,682	57,464,221
11	60,000	0.14	9,131	10,000	91.31%	7,662,682	57,957,555
12	60,000	0.13	9,139	10,000	91.39%	7,662,682	58,262,895
13	60,000	0.13	9,145	10,000	91.45%	7,662,682	58,492,779
14	60,000	0.13	9,154	10,000	91.54%	7,662,682	58,839,022
15	60,000	0.12	9,159	10,000	91.59%	7,662,682	59,032,116
16	60,000	0.12	9,168	10,000	91.68%	7,662,682	59,381,016
17	60,000	0.12	9,174	10,000	91.74%	7,662,682	59,614,569
18	60,000	0.12	9,180	10,000	91.80%	7,662,682	59,848,888
19	60,000	0.12	9,181	10,000	91.81%	7,662,682	59,888,015
20	60,000	0.12	9,185	10,000	91.85%	7,662,682	60,044,739
21	60,000	0.11	9,190	10,000	91.90%	7,662,682	60,241,124
22	60,000	0.11	9,192	10,000	91.92%	7,662,682	60,319,827
23	60,000	0.11	9,193	10,000	91.93%	7,662,682	60,359,211
24	60,000	0.11	9,196	10,000	91.96%	7,662,682	60,477,492