К содержанию
РецензированоEN2024

Neuron Mesh Networks

Babirjon Hamroyev (Asia international University , " General Technician Department of Sciences teacher)

Медицина, педагогика и технологии: теория и практика · 202-210 · 2024

Аннотация

This in the article neuron netted networks artificial of intellect important from directions one as is studied . Neuron networks a person brain and of neurons work principles based on created big​​​ in volume information again work and analysis in doing important role plays​ In the article neuron of networks history , structure , activation functions and study​ processes in detail seeing will be released . Deep deep learning approaches​ and neuron of networks different in the fields , including medicine , automobile industry , finance technologies and another in the fields application also information about given​ In the future neuron networks development directions , including​ hybrid models and quantum computers with depends achievements about thought maintained. This article neuron networks about wide to understanding have to be and their modern in technologies place about deep information get for important source being service does​

Доказательный фрагмент

«This in the article neuron netted networks artificial of intellect important from directions one as is studied .»

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This in the article neuron netted networks artificial of intellect important from directions one as is studied . Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Узбекистан
Ключевые слова
Neuron netted networks, Artificial intellect, Deep learning (Deep Learning), Activation functions, the machine learning (Machine Learning), Back spread algorithm (Backpropagation), Convolutional neuron networks (CNN), Recursive neuron networks (RNN), Optimization Algorithms of Gradient decrease (Gradient Descent), Quant computers, Hybrid models, Image Familiar, Time Sequence, Artificial neuron models .
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