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Combined Convolutional and Perceptron Neural Networks for Handwritten Digits Recognition© 2020 IEEE. The use of a combination of a convolutional neural network and multilayer perceptrons

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

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

Problem of Determining a Multidimensional Kernel in One Parabolic Integro–differential EquationThe multidimensional parabolic integro-differential equation with the time-convolution in- tegral

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

Heart rate estimation from photoplethysmogram and accleration smartphone data based on convolutional neuralnetwork and long short time memory network on convolutional neuralnetwork and long short time memory network

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