Examples of using Neural network in English and their translations into Serbian
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This can be done by training an algorithm, usually a deep neural network, on a vast number of photos that have faces in known positions.
The programme is designed to orient the students with the domain of computation science, neural network and their implementation in modern computer architectures with the application in the area of.
It took many years, but eventually we developed an electrochemical neuroprosthesis that transformed the neural network in the spinal cord from dormant to a highly functional state.
The original aim of the neural network approach was supposed to fix problems in the very same way a human brain would.
Quantum neural network research is still in its infancy,
The striking thing is that, for neural network to work, it needs huge amount of data.
The original goal of the neural network approach was to solve problems in the same way that a human brain would.
such quantum neural network models are mostly theoretical proposals that await their full implementation in physical experiments.
Huawei revealed their highly anticipated HUAWEI Mate 10 and HUAWEI Mate 10 Pro featuring the world's first artificially intelligent chipset with dedicated Neural Network Processing Unit(NPU).
They developed a neural network model called AlphaGo that was designed to play Go,
(Oct.17) Huawei reveals the highly anticipated HUAWEI Mate 10 and HUAWEI Mate 10 Pro featuring the world's first artificially intelligent chipset with dedicated Neural Network Processing Unit(NPU).
is an artificial neural network used in the fields of artificial intelligence
It was important for creating a physical embodiment of the neural network, which until then had been mainly an academic concept.
The DeepMind system used a deep convolutional neural network, with layers of tiled convolutional filters to mimic the effects of receptive fields.
Such a recurrent neural network can process not only single data points(such as images),
The foundation for the neural network was a technique created in 2015 by Leon Gatys at the University of Tübingen, Germany,
It then utilizes another deep neural network to determine if the detected eye is open
uses a neural network to analyze thousands of songs
The combined total of 2,600 examples is actually a rather small dataset for training a neural network, Lau admits.
Recently, a deep-learning approach based on an autoencoder artificial neural network has been used in bioinformatics, to predict Gene Ontology annotations