Assertion: neural network's output | /r/HasProperty | probability
Facets:
Source sentences:
text: This is crucial because the output for each node of the final layer will be a probability that a given image is a particular digit.
text: In classification tasks, we generally use a Softmax function as the Activation Function in the Output layer of the Multi Layer Perceptron to ensure that the outputs are probabilities and they add up to 1.
text: For example, the loss function for a problem like this one where the outputs to our model are probabilities would have to very different from the loss function of a model that is trying to predict something like price in dollars.