Backpropagation, short for "backward propagation of errors," is an algorithm that lies at the heart of training neural networks.

Understanding how back-propagation works will enable you to use neural network tools more effectively.

Understanding how back-propagation works will enable you to use neural network tools more effectively.

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! # ...

In this work, a gradient method with momentum for BP neural networks is considered. The momentum coefficient is chosen in an adaptive manner to accelerate and stabilize the learning procedure of the ...

The research could also potentially contribute to an ongoing mystery in human intelligence. Artificial neural networks remain one of our best tools for investigating how the brain learns, but it has ...