Примеры использования A neural network на Английском языке и их переводы на Русский язык
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you can define and train a neural network that categorizes a handwritten digit given an image.
We have already talked about the basic process of training a neural network to classify photos.
with the time passing, a neural network covers a growing number of levels.
in the very procedure of the approximate Bayesian inference one can also use a neural network to approach the exact a posteriori distribution.
that the method of extrapolation of a neural network error allows to reduce essentially the general average error of the forecast.
Peters' fractal analysis, a neural network or geometrical constructions.
we can use a neural network to classify objects into groups.
with the attention values resembling the weights in a neural network.
It's really neat that simply feeding pixels into a neural network actually worked to build image recognition!
The answer is simple: it is only lawyers who know"what to do with a neural network.
Once I had all that data, I could use it to build a neural network to model how likely it is that you would start with any given letter.
we can feed directly into a neural network for image recognition.
Bayesian Methods unveiled a new method that allows adjusting a neural network of a considerably smaller size without loss in quality,
This is generally done by allowing a neural network or genetic algorithm to either review a large database of professional games, or play many games against itself
generalized iterative algorithm GIA GMDH[7] was developed as a neural network with active neurons in the form of the COMBI algorithm for automatic adjustment of a neuron complexity.
reducing the time of its calculation with a neural network, using the calculated complementary filter
Creation of a neural network in NTL+.
We are now connected through a neural network.
Advantages of consideration of a neural network as a mathematical matrix are shown.