I’m currently trying to create a neural network to classify objects, given an image. The images can be a composition of objects such that the multi-label sums up to 1, e.g. one multi-label could look like: [0.3, 0.0, 0.7] for label_1, label_2, and label_3, respectively. These are not probabilities but rather the fractional amount of each object in the image.