SUBOPTIMaL - Machine Learning Terms

Machine Learning Terms

A representation of an object as a list of numbers.

Hyperparameters specify the model's architecture and how it will be trained and are not learned during training phase.

A function that helps to separate datasets that can't be separated with a classic linear approach.

Lipschitzness is a noun coming from the term Lipschitz continuity.

Function that is used to evaluate the performance of a model and guide the training process.

An algorithm that removes less important data from a dataset.

Internal variables of the model that will be updated during the training phase (e.g. weights and biases of a neural network).

A simple function of x returning 0 if x < 0 or x otherwise.

A multidimensional array similar to numpy.array.