- delta learning rule
The New English-Russian Dictionary of Radio-electronics. F.V Lisovsky . 2005.
delta learning rule
Смотреть что такое "delta learning rule" в других словарях:
Delta rule — The delta rule is a gradient descent learning rule for updating the weights of the artificial neurons in a single layer perceptron. It is a special case of the more general backpropagation algorithm. For a neuron with activation function the… … Wikipedia
Oja's rule — Oja s learning rule, or simply Oja s rule, named after a Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the… … Wikipedia
Company rule in India — For usage, see British Empire in India Company rule in India Colony of the East India Company ↓ … Wikipedia
Phi Alpha Delta — Infobox Fraternity letters = ΦΑΔ name = Phi Alpha Delta www.flagler.edu/academics/prelaw/art/padlogo.gifscroll = Philos Adelphos Dikaios – “Love of Humanity and Justice for All” colors = Old Gold and Royal Purple symbols = Book of Law, Lamp of… … Wikipedia
Constructivism (learning theory) — Jean Piaget: founder of Constructivism Constructivism is a theory of knowledge (epistemology)[1] that argues that humans generate knowledge and meaning from an interaction between their experiences and their ideas. During infancy, it was an… … Wikipedia
Khmer Rouge rule of Cambodia — History of Cambodia This article is part of a series Early history … Wikipedia
Rock & Rule — Infobox Film name = Rock Rule caption = Original Theatrical Poster director = Clive A. Smith producer = Michael Hirsh Patrick Loubert writer = John Halfpenny Patrick Loubert Peter Sauder music = Score: Patricia Cullen Songs performed by: Cheap… … Wikipedia
Feedforward neural network — A feedforward neural network is an artificial neural network where connections between the units do not form a directed cycle. This is different from recurrent neural networks.The feedforward neural network was the first and arguably simplest… … Wikipedia
ADALINE — (Adaptive Linear Neuron or later Adaptive Linear Element) is a single layer neural network. It was developed by Professor Bernard Widrow and his graduate student Ted Hoff at Stanford University in 1960. It is based on the McCulloch Pitts neuron.… … Wikipedia
Generalized Hebbian Algorithm — The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger s rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989cite … Wikipedia
Boltzmann machine — A Boltzmann machine is the name given to a type of stochastic recurrent neural network by Geoffrey Hinton and Terry Sejnowski. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first… … Wikipedia
