What is backpropagation?

Experience Level: Junior
Tags: Machine learning


Backpropagation is a widely used algorithm for training artificial neural networks. It is an iterative algorithm that updates the weights of the network based on the gradient of the loss function with respect to the weights.

Backpropagation involves two main steps: forward propagation, where the input is propagated through the network to produce an output, and backward propagation, where the error or loss is calculated and the gradients are propagated backwards through the network to update the weights. Backpropagation has been instrumental in the success of deep learning and has enabled the training of neural networks with many layers.

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