This project is an implementation of Geoffrey Hinton's Forward-Forward Algorithm, an alternative learning algorithm to Backpropagation. The algorithm is described in the research paper The ...

Backpropagation, short for "backward propagation of errors," is a supervised learning algorithm used for training artificial neural networks. The basic idea behind backpropagation is to adjust the ...

This article proposes a sparsity-driven SNN learning algorithm, namely backpropagation with sparsity regularization (BPSR), aiming to achieve improved spiking and synaptic sparsity. Backpropagation ...

This can be difficult for nontrivial tasks that require long programs to be solved. The semantic backpropagation algorithm proposed in this paper heuristically inverts the execution of evolving ...

Abstract: The backpropagation (BP) algorithm is a one of the most common algorithms used in the training of neural networks. The single offspring technique (SOFT algorithm) is a new technique (see ...

It was the go-to method of most of advances in AI today. But now one of the most powerful artificial neural network techniques, the Back-propagation algorithm is being panned by AI researchers for ...