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Latest Posts
1,740 views
05-07 06:28
05-07 06:28
1,730 views
05-07 06:27
05-07 06:27
The lower the loss function, the higher the accuracy of predictions.
1,590 views
05-07 06:27
05-07 06:27
1,230 views
05-07 06:26
05-07 06:26
1,040 views
05-07 06:25
05-07 06:25
In second case we have higher probability.
908 views
05-07 06:24
05-07 06:24
This is what we expected.
855 views
05-07 06:22
05-07 06:22
The lover the Loss function, more our model gets accurate
793 views
05-07 06:21
05-07 06:21
the cross entropy of this images.
743 views
05-07 06:16
05-07 06:16
So that is the interpretation if these vetors.
699 views
05-07 06:15
05-07 06:15
670 views
05-07 06:14
05-07 06:14
and how did it define
640 views
05-07 06:13
05-07 06:13
The most common loss function used for classification is Cross-entropy
629 views
05-07 06:13
05-07 06:13
L2 norm
603 views
05-07 06:11
05-07 06:11
The objective function.
714 views
05-07 06:10
05-07 06:10
Calculation of L2 norm
705 views
05-07 06:09
05-07 06:09
and it is actually equal to the Least Suqares.
551 views
05-07 06:09
05-07 06:09
L2 norm you had in your ML course.
525 views
05-07 06:08
05-07 06:08
The loss function evaluates the accuracy of output regarding to the targets.
490 views
05-07 06:08
05-07 06:08
Regardless their linearity.
482 views
05-07 06:06
05-07 06:06