Backpropagation Explained Without Complex Math

ha aggiunto una foto Altre informazioni

2026-02-24 09:20:39 - Translate

Backpropagation is one of the most important concepts in deep learning. It is the method that allows a neural network to learn from its mistakes. When a model makes a prediction, it compares that prediction with the correct answer. The difference between the two is called the error. Backpropagation helps the model understand how much each connection in the network contributed to that...

0 Commenti 0 condivisioni 59 Views 0 Anteprima