Glossary
Activation function
The function at the last stage of a neural network layer. For example, a rectified linear unit (relu) function may be applied on the result of the matrix multiplication to generate the final output of a dense layer. An activation function can be linear or nonlinear. Nonlinear activation functions can be used to increase the representational power (or capacity) of a neural network. Examples of nonlinear activations include sigmoid, hyperbolic tangent (tanh), and the aforementioned relu.
Area under the curve (AUC)
A single number used to quantify the shape of an ROC curve. It is defined as the definite integral under the ROC curve, from false positive rate 0 to 1. See ROC curve.
Axis
In the context of TensorFlow.js, ...
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