cs501r_f2018:lab4
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cs501r_f2018:lab4 [2018/09/26 00:32] shreeya |
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| - | {{:cs501r_f2016:training_accuracy.png?300|}}=====BYU CS 501R - Deep Learning:Theory and Practice - Lab 4===== | + | =====BYU CS 501R - Deep Learning:Theory and Practice - Lab 4===== |
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| Guessing that the pixel is not cancerous every single time will give you an accuracy of ~ 85%. Your trained network should be able to do better than that (but you will not be graded on accuracy). | Guessing that the pixel is not cancerous every single time will give you an accuracy of ~ 85%. Your trained network should be able to do better than that (but you will not be graded on accuracy). | ||
| - | {{ :cs501r_f2016:training_accuracy.png?direct&200|}} | + | |
| - | {{ :cs501r_f2016:training_loss.png?direct&200|}} | + | {{:cs501r_f2016:training_accuracy.png?400|}} |
| + | {{:cs501r_f2016:training_loss.png?400|}} | ||
cs501r_f2018/lab4.txt · Last modified: 2021/06/30 23:42 (external edit)
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