I have two groups of images (concrete cracks and uncracked concrete) so they are binary classification, I am making classification for them by using vgg19. when I used (1) neuron for the output layer and using softmax I got accuracy 0.5 and fixed during 250 epochs, while when I used 2 neuron with softmax the accuaracy increaced above 0.9.
So, shall I have to use 1 or 2 neurons for the output for VGG19 with binary classification?
