Increasing the Receptive Field of Neurons in Convolutional Neural Networks

S Shapovalova, Y Moskalenko… - Cybernetics and Systems …, 2023 - Springer
The convolutional neural network architectures for classifying 1D and 2D signals are
analyzed. The authors have found that for a high-dimensional input signal, one can ensure …
被引用次数：1 相关文章

Increasing the Receptive Field of Neurons in Convolutional Neural Networks

S Shapovalova, Y Moskalenko… - Cybernetics and Systems …, 2023 - dl.acm.org
The convolutional neural network architectures for classifying 1D and 2D signals are
analyzed. The authors have found that for a high-dimensional input signal, one can ensure …

INCREASING THE RECEPTIVE FIELD OF NEURONS IN CONVOLUTIONAL NEURAL NETWORKS.

S Shapovalova, Y Moskalenko… - Cybernetics and Systems …, 2023 - go.gale.com
The convolutional neural network architectures for classifying 1D and 2D signals are
analyzed. The authors have found that for a high-dimensional input signal, one can ensure …