About this document
Backpropagation in Multi-Layer ANNs by polinati.vinesh2023 is a document available to read on EtoBox.
1. The document describes a video lecture on machine learning using artificial neural networks and backpropagation. 2. It discusses the feed forward propagation of inputs across multiple layers of a neural network to calculate outputs, and the backpropagation of errors to update weights. 3. Backpropagation works by feeding inputs forward, calculating outputs, determining errors at the output layer, then propagating these errors back through the network to adjust weights according to the gradient descent
- Author
- polinati.vinesh2023
- Language
- EN