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Fitting the continuous valid logic of the exclusive OR (XOR) problem requires more than a minimal neural network configuration.
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In this paper, a supervised approach for word sense disambiguation using neural network with minimal feature sets was implemented.
And in this work, we managed to fine tune the neural network with minimal adjustments and discovered the feature set which can capture fraud through a user's perspective.
By using a very site-specific drug, performing for the first time simultaneous measurements of CMRglc, rCBF, resting state BOLD low frequency oscillations, and analyzing both dexmedetomidine-induced loss of consciousness and recovery, we have been able to identify a minimal disruption of neural networks that is shared between altered consciousness states.
An autoencoder is one of the deep learning algorithm which is basically a three layer neural network that tries to reconstruct the input with minimal error.
A deep neural network copies this arrangement.
The second neural network works differently.
This neural network examines neurons.
Neural Network Models for Lexical Addressee Detection.
The neural network then went back and tried again.
A deep neural network processes images more like you do.
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