Examples of using Artificial neural network in English and their translations into Ukrainian
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Computer
that uses an artificial neural network to increase fluency
The main idea of this method is to develop an artificial neural network that will learn a lot of hand templates, which represent a variety of
classifies them using an artificial neural network, thus creating a rich, accurate map of its environment while avoiding obstacles.
Unlike an actual brain where any neuron can reach to any other neuron within a certain physical distance, an artificial neural network may have discrete layers,
Lavric, Vasile(2012): Artificial Neural Network Modelling of Ultrasound and Microwave Extraction of Bioactive Constituents from Medicinal Plants.
In this video, I'm gonna tell you a little bit about real neurons on the real brain which provide the inspiration for the artificial neural network that we're gonna learn about in this course.
using various statistical methods including artificial neural network.
it was an artificial neural network.
In fact, the activity across the brains of all these people was so correlated that we're able to train an artificial neural network to predict whether or not people are experiencing awe to an accuracy of 75 percent on average, with a maximum of 83 percent.
Multilayered artificial neural networks allow deep learning algorithms to analyze data in an autonomous mode.
Artificial neural networks.
Artificial neural networks.
Generic artificial neural networks as a new creative tool.
This is the same method that uses artificial neural networks to analyze a variety of patterns, and then offers its predictions.
Most of the currently employed artificial neural networks for artificial intelligence are based on statistical estimations,
The artificial neural networks, on which the Google currently works,
The artificial neural networks are described and analyzed, and the examples of their application in biology
Artificial neural networks(ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains.
semantic and artificial neural networks and knowledge bases,
mathematical optimization, artificial neural networks, and methods based on statistics,