The short definition of a parameter sweep is that it's the process of trying different training parameter values in order to find a good set of neural network weight values. One way to think of a ...

The key to creating more efficient neural network models is rooted in trimming and refining the many parameters in deep learning models without losing accuracy. Much of this work is happening on the ...

Microsoft Corp. today announced that its researchers have developed a neural network with 135 billion parameters and deployed it in Bing to improve search results for users. At 135 billion parameters, ...