About this document
Backpropagation Neural Network Code by HARSHITHA D is a document available to read on EtoBox.
The document discusses backpropagation, an algorithm used in neural networks to calculate the error contribution of each neuron after a batch of training data is processed. It provides code to initialize a network, perform forward and backward propagation, update weights, and train the network over multiple epochs on a sample dataset to classify two classes. After training, it prints the network layers showing the updated weights and error values.
- Author
- HARSHITHA D
- Language
- EN