Tenyn

Thanks for your reply. The outputs of all labels are below 0.1 so i wander if the wrong model was built. The model is shown as follows: ` def RethinkNet(input_shape,...

I trained it 300 epochs, and the loss converges to 0.0746

The cost function is binary crossentropy. So i dont understand why the outputs have no labels close to 1.

Thanks. I will try the weighted binary crossentropy loss.