Per-class accuracy and loss tracking at test-time?

[hyqneuron]

This concerns class imbalance. In datasets with highly imbalanced classes,
(1) it helps to keep track of the per-class accuracy and loss instead of overall accuracy/loss.
(2) It may also help to use class-specific learning rates, as discussed in this G+ post:

Is there an existing implementation for these?

[hyqneuron]

I have another related question. How can I dynamically create top blobs? Basically I'm doing a accuracy layer that tracks per-class accuracy. And I need one named output per class. So I'm creating one top blob per class dynamically in my new layer's ctor.

Currently I directly modify a layer's LayerParam (which is const). I wonder if there's a less stupid way to do this?

[longjon]

Please ask usage questions on the caffe-users list. Thanks!

[hyqneuron]

The first post was a feature proposal... nvm.

[cbelth]

#2935