Hidden layer - Open Access .click

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Studies in visual perceptual learning investigate the way human performance improves with practice, in the context of relatively simple (and therefore more manageable) visual tasks. Building on the powerful tools currently available for the training of Convolution Neural Networks (CNN), networks whose original architecture was inspired by the visual ...
Gad Cohen, Daphna Weinshall
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The hidden-layer model of hippocampus

Neurocomputing, 2003
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Winfried A. Fellenz, John G. Taylor
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Multidirectional associative memory with a hidden layer

Systems and Computers in Japan, 2002
AbstractMAM (Multidirectional Associative Memory) is an extended BAM (Bidirectional Associative Memory), and an associative memory model which can deal with multiple associations. If the training set has common terms, the conventional MAM often recalls the convolutional patterns.
Masaki Kobayashi, Motonobu Hattori, Haruaki Yamazaki +2 more
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THE HIDDEN LAYER PROBLEM

Geophysical Prospecting, 1962
AbstractFor a given refraction time‐distance curve, the range in thickness for a hidden intermediate layer is given together with the effect the layer has on the total thickness of the two layers above the recorded refractor.
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neural network
fos: computer and information sciences
deep learning

machine learning
machine learning cs.lg
neural and evolutionary computing cs.ne

machine learning stat.ml
artificial neural network
optimization