Training algorithm breaks barriers to deep physical neural networks Date: December 7, 2023 Source: Ecole Polytechnique Fédérale de Lausanne Summary: Researchers have developed an algorithm to ...

Journal of Computational Mathematics, Vol. 26, No. 4 (July 2008), pp. 613-623 (11 pages) In this work, a gradient method with momentum for BP neural networks is considered. The momentum coefficient is ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

Neural networks are therefore a specialized kind of directed graph. Many neural networks distinguish between three layers of nodes: input, hidden, and output.