loss function
/ˈlɒs ˌfʌŋkʃən/
A measure of how wrong the model's predictions are
loss function in a sentence
“The loss function quantifies the difference between predictions and actual values.”
Origin of loss function
From Old English los (destruction, ruin) + Latin functio (performance), from fungi (to perform)
Related Words
bias
Prejudice in favor of or against one thing, person, or group
algorithm
A process or set of rules to be followed in calculations
neural network
A computing system inspired by biological neural networks
deep learning
Machine learning using neural networks with many layers
supervised learning
Training a model on labeled data with known outputs
unsupervised learning
Finding patterns in data without labeled examples