title: Caffe sigmoid cross entropy loss
body: <p>I am using the sigmoid cross entropy loss function for a multilabel classification problem as laid out by <a href="http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/pascal-multilabel-with-datalayer.ipynb" rel="nofollow">this tutorial</a>. However, in both their results on the tutorial and my results, the output predictions are in the range <code>(-Inf, Inf)</code>, while the range of a sigmoid is <code>[0, 1]</code>. Is the sigmoid only processed in the backprop? That is, shouldn't a forward pass squash the output?</p>