By far the most common neural network training technique (but not necessarily the best) is to use what's called the back-propagation algorithm. Although there are many good references available that ...

Let's explore mini-batch training, the third among a variety of back-propagation algorithms you can use for training a neural network. The most common technique used to train a neural network is the ...

The standard “back-propagation” training technique for deep neural networks requires matrix multiplication, an ideal workload for GPUs. With SLIDE, Shrivastava, Chen and Medini turned neural network ...

Almost all commercial machine learning applications depend on artificial neural networks, which are trained using large datasets with a back-propagation algorithm. The network first analyzes a ...

Artificial Neural Network (ANN) are highly interconnected and highly parallel systems. Back Propagation is a common method of training artificial neural networks so as to minimize objective function.

Actually neural networks were invented a long time ago, in 1943, when Warren McCulloch and Walter Pitts created a computational model for neural networks based on algorithms. Then the idea went ...