Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the ...

In the realm of artificial intelligence and machine learning, neural networks have proven to be a powerful tool for solving complex problems. These networks, inspired by the workings of the human ...

Hinton's motivation for the algorithm is to address some of the shortcomings of standard backpropagation training which requires full knowledge of the computation in the forward pass to compute ...

In a paper published in Science, he and his colleagues describe an algorithm for training physical systems ... and a backward pass (also known as backpropagation, or BP), where a gradient of ...

Master the math behind backpropagation with a clear, step-by-step derivation that demystifies neural network training.

The ALNM uses a neural pruning function to eliminate unnecessary dendrite branches and synapses during training, but use of the backpropagation algorithm restricted the ALMN. Artificial neural ...

However, executing the widely used backpropagation training algorithm in multilayer neural networks requires information—and therefore storage—of the partial derivatives of the weight values ...

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.