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Hierarchical Convolutional Neural Network for Handwritten Digits Recognition© 2020 The Authors. Published by Elsevier B.V. The application of a combination of convolutional
On the Classification of Cytological Images of Leukocytes Using Depthwise Separable Convolutional Neural Networks images, LeucoCyteNetv2, is proposed, which includes depthwise separable convolutional layers, Separable
Homogenization of non-autonomous evolution problems for convolution type operators in randomly evolving media=L(t)u with an integral convolution type operator L(t) that has a non-symmetric jump kernel which is periodic in spatial
Neural network technology to search for targets in remote sensing images of the Earth images: a convolutional neural network from the nnForge library and a network of the Darknet type. A
Some constructive criteria of optimal embeddings for potentials. They are constructed on the basis of rearrangement invariant spaces (RISs) by means of convolutions with kernels
On the cones of rearrangements for generalized bessel and Riesz potentials. They are constructed on the basis of a rearrangement invariant space by using convolutions with some general kernels
Image recognition system based on convolutional neural network research and other fields. Convolutional neural network has the advantages of automatic feature extraction
Facial Recognition Using Convolutional Neural NetworksFacial Recognition Using Convolutional Neural Networks
Video Sequence Filtering Based On Convolutional Neural NetworkVideo Sequence Filtering Based On Convolutional Neural Network
Urban areas analysis using satellite image segmentation and deep neural networkThe goal of our research was to develop methods based on convolutional neural networks
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