multilabel-classification

In short Don’t use softmax. Use sigmoid for activation of your output layer. Use binary_crossentropy for loss function. Use predict for evaluation. Why In softmax when increasing score for one label, all others are lowered (it’s a probability distribution). You don’t want that when you have multiple labels. Complete Code from tensorflow.keras.models import Sequential from … Read more