PARALLELIZATION OF COMPUTATIONS IN LIQUID NEURAL NETWORKS WITH PRESERVATION OF STABILITY GUARANTEES
Liquid neural networks (LNNs) are a class of continuous machine learning models in which the evolution ...
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COMPARISON OF THE STRUCTURE, EFFICIENCY, AND SPEED OF OPERATION OF FEEDFORWARD, CONVOLUTIONAL, AND RECURRENT NEURAL NETWORKS
This article examines the efficiency of fully connected, recurrent, and convolutional neural networks in the context ...
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DESIGN OF RECURRENT NEURAL NETWORKS FOR CLASSIFICATION OF AGE DIFFERENCES IN THE FUNCTIONING OF THE SYMBOLIC SYSTEM OF QUANTITY ASSESSMENT
The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...
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APPLICATION OF RECURRENT NEURAL NETWORK MODELS FOR GENERATING TEXT DATA OF SPECIFICATIONS OF ASSEMBLY DRAWINGS
The article explores the capabilities of various models of recurrent neural networks in text data generation. ...
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