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Convolutional Neural Network (CNN) with image histograms that convey information about pixel intensity. Several

neural network that predicts appropriate fragments given the structure of a receptor/ligand complex

general hierarchical neural network control system, suggested by the author earlier.

networks, wherein each node—representing a distinct state—is governed by sensor-triggered conditions

is considered. The description of the FastER-RCNN method based on a two-stage neural network is given

for classification based on convolutional neural networks. A qualitative examination of the mentions in user reviews

architectures and compared them with the effective baseline for classification based on convolutional neural

of studying the operation of three different architectures of convolutional neural networks for identification

challenging task, which is the subject of this paper. The paper considers neural network algorithms

with convolutional neural networks and extra transformations.

Страница 13 из 1634