Keras Tensorflow Binary Cross entropy loss greater than 1
Yes, its correct, the cross-entropy is not bound in any specific range, its just positive (> 0).
Library: Keras, backend:Tensorflow
I am training a single class/binary classification problem, wherein my final layer has a single node, with activation of sigmoid type. I am compiling my model with a binary cross entropy loss. When I run the code to train my model, I notice that the loss is a value greater than 1. Is that right, or am I going wrong somewhere? I have checked the labels. They're all 0s and 1s.  
Is it possible to have the binary cross entropy loss greater than 1?