● mastered · kind algorithm · level 4 · 28h
- Requiere: Calculus · Gradient Descent · Forward Propagation
Reverse-mode automatic differentiation over the network graph, applying the chain rule once per layer. It makes gradient descent tractable for billions of parameters.
In machine learning, backpropagation is a gradient computation method commonly used for training a Neural Network in computing parameter updates.
Enlaces
- Requiere: Calculus · Gradient Descent · Forward Propagation