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neurone caché

hidden unit

santé - iate.europa.eu

Alors que si vous vous déplacez horizontalement, vous allez du premier neurone caché

Whereas if you move horizontally, then you're going from the first hidden unit.

général - CCMatrix (Wikipedia + CommonCrawl)

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A new security on neural cryptography with queries... That is, the output vectors of hidden unit using Hebbian learning rule, left-dynamic hidden unit using Random walk learning rule and rightdynamic hidden unit using Anti-Hebbian learning rule are compared....

général - core.ac.uk - PDF: citeseerx.ist.psu.edu

A neural network training algorithm utilizing multiple sets of linear equationsA fast algorithm is presented for the training of multilayer perceptron neural networks, which uses separate error functions for each hidden unit and solves multiple sets of linear equations....

PDF: citeseerx.ist.psu.edu

Hidden-unit conditional random fieldsThe paper explores a generalization of conditional random fields (CRFs) in which binary stochastic hidden units appear between the data and the labels....

PDF: citeseerx.ist.psu.edu

Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic modelsThis paper proposes a simple yet effective model-based neural network speaker adaptation technique that learns speaker-specific hidden unit contributions given adaptation data, without requiring any form of speaker-adaptive training, or labelled adaptation data....

PDF: homepages.inf.ed.ac.uk

neurone caché

hidden neuron

santé - iate.europa.eu

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Back propagation neural network by comparing hidden neurons: case study on breast cancer diagnosis... This paper presents the results of a comparison among ten different hidden neuron initialization methods....

général - core.ac.uk - PDF: citeseerx.ist.psu.edu

Letter removal of hidden neurons by crosswise propagationAbstract – The hidden neuron is removed by analyzing the orthogonal projection correlations among the outputs of other hidden neurons....

PDF: citeseerx.ist.psu.edu

Pushing stochastic gradient towards second-order methods–backpropagation learning with transformations in nonlinearities. arxiv preprint arxiv:1301.3476Recently, we proposed to transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model the linear dependencies instead....

PDF: arxiv.org

An organism with a simple memory mechanism of sensed potential mates.One of the developed organisms included a sensory neuron A that was sensitive to mate odors, synapsing a hidden neuron B, synapsing using a Non-Hebbian pre-synaptic LTP synapse S, a hidden neuron C, synapsing a motor neuron D....

PDF: figshare.com

Classification of radar environment using ensemble neural network with variation of hidden neuron number... Therefore, this paper proposes an ensemble neural network based classifier with a variation of hidden neuron number for classifying the radar environments....

PDF: doaj.org