[jpcompartir]

I would echo some caution if using as a reference, as in another blog the writer states:

"Backpropagation, often referred to as “backward propagation of errors,” is the cornerstone of training deep neural networks. It is a supervised learning algorithm that optimizes the weights and biases of a neural network to minimize the error between predicted and actual outputs.."

https://chizkidd.github.io/2025/05/30/backpropagation/

backpropagation is a supervised machine learning algorithm, pardon?

[cl3misch]

I actually see this a lot: confusing backpropagation with gradient descent (or any optimizer). Backprop is just a way to compute the gradients of the weights with respect to the cost function, not an algorithm to minimize the cost function wrt. the weights.

I guess giving the (mathematically) simple principle of computing a gradient with the chain rule the fancy name "backpropagation" comes from the early days of AI where the computers were much less powerful and this seemed less obvious?

[imtringued]

The German Wikipedia article makes the same mistake and it is quite infuriating.

[cubefox]

What does this comment have to do with the previous comment, which talked about supervised learning?