AnimG LogoAnimG

Backpropagation β€” Gradient Flow

Audience: Software EngineerCategory: Computer Science

Description

Demonstrates backpropagation in a 3-layer neural network. A forward pass first computes activations left to right, then a loss is computed. Gradients flow backward through the network as a glowing wave, with the chain rule applied at each layer. The key partial derivative formula is displayed.

Inspired by this animation?

Backpropagation β€” Gradient Flow | AnimG | AnimG