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Using a novel fractional-order gradient method for CNN back-propagation
To this end, the researcher proposes a fractional-order gradient method for the back-propagation of convolutional neural networks based on the Caputo definition.
Representation, Analysis of Bayesian Refinement Approximation Network: A Survey
In our modified U-Net model, the result of background subtraction from other models will be combined with the source image as input for learning the statistical distribution.
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