Examples of using Artificial neural networks in English and their translations into Vietnamese
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Conventional computer software operates within strict parameters but artificial neural networks have the ability to“learn” while working with more and more data over time.
In the manufacturing sector, Artificial Neural Networks are proving to be an extremely effective Unsupervised learning tool for a variety of applications including production process simulation and Predictive Quality Analytics.
The key is to train artificial neural networks to recognize the underlying structure of the images in order to fill in views omitted from the accelerated scan,» Facebook wrote in the blog post.
deep learning(e.g., recurrent nets) of artificial neural networks have been explored for many years.
On the technical side, in addition to computational hydraulics, hydroinformatics has a strong interest in the use of techniques originating in the so-called artificial intelligence community, such as artificial neural networks or recently support vector machines
Learn about artificial neural networks and how they're being used for machine learning,
This ability to process a large number of parameters through multiple layers makes Artificial Neural Networks very suitable for the variable-rich and constantly changing processes common to manufacturing.
One is to invent new chips to run artificial neural networks, the form of software propelling the AI ambitions of Google and other tech companies.
Moreover, with the rise of machine learning and artificial neural networks, more and more algorithms evolve independently, improving themselves and learning from their own mistakes.
The main use of its technology was a visual search engine that applied deep learning techniques using artificial neural networks for the fashion industry.
But unlike a biological brain, where any neuron can connect to any other neuron within a certain physical distance, these artificial neural networks have discrete layers, connections and directions of data propagation.
The Russian Kalashnikov arms manufacturer has developed a fully automated combat module based on artificial neural networks, which allows it to identify targets, learn and make decisions on its own.
including Google's, is aimed at speeding up the process of deploying artificial neural networks.
With two grad students, Hinton showed that an unfashionable technology he'd championed for decades called artificial neural networks permitted a huge leap in machines' ability to understand images.
In fact, scientists and engineers have been attempting to build artificial neural networks which seek to mimic brain processes since the 1940s, when Warren McCulloch
Together with lead author Janis Fluri, a PhD student in Refregier's group, the researchers used machine learning algorithms called deep artificial neural networks and taught them to extract the largest possible amount of information from the dark matter maps.
During the two-year program, researchers will record motor and sensory signals from the spinal cord and use artificial neural networks to learn how to stimulate the post-injury site to communicate motor commands.
one that has been exploited biologically to form central pattern generators and mimicked in artificial neural networks.
But unlike a biological brain where any neuron can connect to any other neuron within a certain physical distance, these artificial neural networks have discrete layers, connections, and directions of data propagation.
a Ph.D. student in Refregier's group and lead author of the study, they used machine learning algorithms called deep artificial neural networks and taught them to extract the largest possible amount of information from the dark matter maps.