University Project for Machine Learning course. This is an implementation of a Neural Network with the Backpropagation Algorithm, using Momentum and L2 Regularization. The program was written and ...

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 ...

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 ...

In this tutorial, we will see how to build a neural network with backpropagation in Excel. We’ll use simple formulas and functions to create our neural network and will provide clear and easily ...

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in ...

The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...

WiMi Developed a Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm. BEIJING, Apr. 23, 2025--WiMi Hologram Cloud Inc.