Translations:Backpropagation/21/en

Modern deep learning frameworks (PyTorch, TensorFlow, JAX) implement backpropagation by constructing a computational graph — a directed acyclic graph where each node represents an operation and each edge carries a tensor. The forward pass builds the graph; the backward pass traverses it in reverse topological order, applying the chain rule at every node.