Примери за използване на Neural nets на Английски и техните преводи на Български
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Neural Nets.
So how do neural nets work?
Neural nets and genetic algorithms.
So I got interested in the subject of neural nets.
My neural nets are not for sale.
Are you really as suspicious of artificial neural nets as you pretend?
With all your neural nets, algorithms and heuristics?
You said you would help us in exchange for us trying to free your lover… from the neural nets the shadows used on her.
How many of your neural nets can you run on here?
Neural nets continue to be a valuable tool for neuroscientific research.
It's a collection of neural nets and heuristic algorithms.
The Neural Nets work by approximating complex mathematical functions to simple ones.
In GPdotNET you can use Genetic Programming or Neural Nets for modelling and prediction experimental data.
Convolutional neural nets(CNNs) are not programmed in the traditional sense, but rather they are trained.
And we don't need artificial intelligence,heads-up displays, neural nets, or virtual reality to accomplish it.
The problem is that neural nets are big, and the computations they run through are power-intensive.
This is incredibly exciting, because over 20 years ago when I studied neural nets at school, they didn't actually work very well… at all!
The neural nets can also handle unknown words better than other systems and can generate translations more quickly.
The brain does not know the difference between… what it sees in its environment andwhat it remembers… because the same specific neural nets are then firing.
Massively parallel neural nets and genetic algorithms are in wide use.
The truth is, your brain doesn't know the difference between what is sees in its environment and what it remembers,because the same specific neural nets are firing.
Google first put neural nets into production for speech recognition in 2012, with the launch of Android Jelly Bean.
In recent years, computer scientists have begun to come up with ingenious methods for deducing the analytic strategies adopted by neural nets.
Deep neural nets automate these tasks and make it possible to address key challenges related to the information of everything trend.
Yann LeCun, formerly a postdoctorate research associate in Hinton's lab,is a leading innovator in convolutional neural nets and now directs Facebook's AI Research.
Neural nets are a means of doing machine learning, in which a computer learns to perform some task by analyzing training examples.
In efforts to satisfy this need, researchers have been exploring ideas and methods developed in machine learning, pattern recognition, statistical data analysis,data visualization, neural nets, etc.
Replace cats and dogs with neural nets, and you have some idea of how AutoML works, but instead of recognising animals, it's recognising which systems are smartest.
He asked if it was true, as he had been told, that I was working on Artificial Intelligence, andI said that I was in fact working on Artificial Neural Nets which purported to simulate brain functioning; in particular they could be taught to recognise patterns.
Deep neural nets enable hardware or software-based machines to learn for themselves all the features in their environment, from the finest details to broad sweeping abstract classes of content.