Leabra


Révision datée du 18 décembre 2020 à 17:01 par Pitpitt (discussion | contributions) (Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == ''' Leabra''' Leabra stands for local, error-driven and associative, bi... »)
(diff) ← Version précédente | Voir la version actuelle (diff) | Version suivante → (diff)

en construction

Définition

XXXXXXXXX

Français

XXXXXXXXX

Anglais

Leabra

Leabra stands for local, error-driven and associative, biologically realistic algorithm. It is a model of learning which is a balance between Hebbian and error-driven learning with other network-derived characteristics. This model is used to mathematically predict outcomes based on inputs and previous learning influences. This model is heavily influenced by and contributes to neural network designs and models. This algorithm is the default algorithm in emergent (successor of PDP++) when making a new project, and is extensively used in various simulations.


Source : Source : Wikipedia

Source : Wikipedia Machine learning algorithms

Contributeurs: Claire Gorjux, wiki