Explaining exactly how artificial neural networks (ANN ... and subsequent back-propagation to tweak the algorithms, eventually narrow down its predictions to something accurate.

The most common algorithm used to train feed-forward neural networks is called back-propagation. Back-propagation compares neural network actual outputs (for a given set of inputs, and weights and ...

Master the math behind backpropagation with a clear, step-by-step derivation that demystifies neural network training.

An Introduction to Neural Networks for a good in-depth walkthrough with the math involved in gradient descent. Backpropagation is not limited to function derivatives. Any algorithm that ...

Deep learning is based on neural networks ... That's the wrong answer; the network should have produced a value close to 1. The goal of the backpropagation algorithm is to adjust input weights ...

No one knew how to effectively train artificial neural networks with hidden layers — until 1986, when Hinton, the late David Rumelhart and Ronald Williams (now of Northeastern University) published ...

The most common algorithm used to train feed-forward neural networks is called back-propagation. Back-propagation compares neural network actual outputs (for a given set of inputs, and weights and ...