A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...

A community-run open benchmark has produced the first reproducible evidence that transformer language models can be pretrained without backpropagation and achieve validation loss lower than Adam, the ...