Output layer Deep Learning
noun phrase
Definition: The final layer of a neural network that produces the model’s prediction, such as class probabilities, logits, or continuous output values [Google ML Glossary].
Example in context: “Similarly, fuzzy neural networks consist of an input layer that fuzzes input features into membership functions utilizing premise parameters, several hidden layers representing fuzzy rules, and an output layer as a defuzzification operator (Shen et al. 2020).” [Zheng et al. 2024]
Related terms: prediction layer, final layer, logits layer (specific output form)