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Epoches

#	Train Size	Loss	Correct	Tests	Accuracy	Cost	Income
0	60,000	0.91	8,846	10,000	88.46%	5,409,267	47,916,116
1	60,000	0.85	9,076	10,000	90.76%	5,409,267	55,894,222
2	60,000	0.82	9,171	10,000	91.71%	5,409,267	59,497,697
3	60,000	0.80	9,229	10,000	92.29%	5,409,267	61,791,377
4	60,000	0.78	9,279	10,000	92.79%	5,409,267	63,827,384
5	60,000	0.77	9,333	10,000	93.33%	5,409,267	66,088,758
6	60,000	0.77	9,383	10,000	93.83%	5,409,267	68,241,772
7	60,000	0.76	9,431	10,000	94.31%	5,409,267	70,363,343
8	60,000	0.76	9,469	10,000	94.69%	5,409,267	72,081,646
9	60,000	0.75	9,496	10,000	94.96%	5,409,267	73,323,677
10	60,000	0.75	9,522	10,000	95.22%	5,409,267	74,536,511
11	60,000	0.74	9,547	10,000	95.47%	5,409,267	75,718,418
12	60,000	0.74	9,568	10,000	95.68%	5,409,267	76,723,251
13	60,000	0.74	9,590	10,000	95.90%	5,409,267	77,787,827
14	60,000	0.73	9,615	10,000	96.15%	5,409,267	79,012,486
15	60,000	0.73	9,624	10,000	96.24%	5,409,267	79,457,278
16	60,000	0.73	9,631	10,000	96.31%	5,409,267	79,804,668
17	60,000	0.73	9,651	10,000	96.51%	5,409,267	80,804,192
18	60,000	0.72	9,661	10,000	96.61%	5,409,267	81,307,852
19	60,000	0.72	9,672	10,000	96.72%	5,409,267	81,864,898
20	60,000	0.72	9,673	10,000	96.73%	5,409,267	81,915,696
21	60,000	0.72	9,682	10,000	96.82%	5,409,267	82,374,059
22	60,000	0.72	9,691	10,000	96.91%	5,409,267	82,834,558
23	60,000	0.72	9,697	10,000	96.97%	5,409,267	83,142,747
24	60,000	0.72	9,697	10,000	96.97%	5,409,267	83,142,747