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As seen in: Towards Data Science
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Articles

Backpropagation: Intuition and Derivation

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By Max Reynolds, Rashida Nasrin Sucky, P. Norvig, “Multilayer Neural Networks”
| Towards Data Science
How Neural Network Learning Works Photo by Hunter Harritt on Unsplash Backpropagation is a popular algorithm used to train neural networks. In this article, we will go over the motivation for backpropagation and then derive an equation for how to update a weight in the network. The Neural Network A fully-connected feed-forward neural network is a common method for learning non-linear feature effects.
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