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omarsar/result.py

Created December 29, 2019 18:41
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result.py
Cost after iteration 0: 0.6931470036506653 | Train Acc: 50.40983581542969 | Test Acc: 45.75163269042969
Cost after iteration 10: 0.6691471934318542 | Train Acc: 64.3442611694336 | Test Acc: 54.24836730957031
Cost after iteration 20: 0.6513187885284424 | Train Acc: 68.44261932373047 | Test Acc: 54.24836730957031
Cost after iteration 30: 0.6367831230163574 | Train Acc: 68.03278350830078 | Test Acc: 54.24836730957031
Cost after iteration 40: 0.6245343685150146 | Train Acc: 69.67213439941406 | Test Acc: 54.90196228027344
Cost after iteration 50: 0.6139233112335205 | Train Acc: 70.90164184570312 | Test Acc: 56.20914840698242
Cost after iteration 60: 0.6045243740081787 | Train Acc: 72.54098510742188 | Test Acc: 56.86274337768555
Cost after iteration 70: 0.5960519909858704 | Train Acc: 74.18032836914062 | Test Acc: 57.51633834838867
Cost after iteration 80: 0.5883094668388367 | Train Acc: 73.77049255371094 | Test Acc: 57.51633834838867
Cost after iteration 90: 0.581156849861145 | Train Acc: 74.59016418457031 | Test Acc: 58.1699333190918
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