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New training technique opens the door to neural networks that require much less energy
After each round, this training modifies which neurons influence which other ones and to what extent. "In conventional neural networks, the output signals change gradually," says Memmesheimer, who ...
Tech Xplore on MSN1d
Neural networks can recognize production processes by video to enhance industrial safety and efficiency
A research team from the Skoltech AI Center and Samara University have developed a system for automatically separating the ...
Hackaday4y
Training A Neural Network To Play A Driving Game
In these cases, it can make more sense to create a neural network and train the computer ... are able to complete a full lap. With enough training, the cars are able to complete the course at ...
You can now download the source code that sparked the AI boom
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...
AlexNet, the AI model that started it all, released in source code form - for all to download
It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.
Nature1y
What are artificial neural networks?
The training can be implemented by various different ... Let us consider an example problem, for which an artificial neural network is readily applicable. Of two classes of cancer, only one ...
Visual Studio Magazine8d
Neural Network Quantile Regression Using C#
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...