Mathematically, logistic regression is a special case of a neural network and is therefore a reasonable introduction to learn how backpropagation in neural networks actually works. In this article the ...

A computationally effective method for training the multilayer perceptrons is the backpropagation algorithm, which is regarded as a landmark in the development of neural network. This chapter presents ...

Backpropagation is the implementation of gradient descent in multi-layer neural networks. Since the same training rule recursively exists in each layer of the neural ...

However, modern learning algorithms for artificial neural networks ... Brain-inspired chaotic spiking backpropagation, ...

Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer ...

Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers. In trying to understand how real nervous systems achieve their remarkable ...

Backpropagation Neural Network is a type of artificial neural network that uses gradient descent and the backpropagation algorithm to learn the weights of the network. Gradient descent is an ...