Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed ... model of a mechanical neural network.

By far the most common neural network training technique (but not necessarily the best) is to use what's called the back-propagation algorithm. Although there are many good references available that ...

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Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the ...

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 ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

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 ...