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What is Backpropagation Neural Network Explained about?
1. Backpropagation neural network (BPN) is a method for training artificial neural networks using gradient descent by calculating the error gradient for each layer and backpropagating errors. 2. BPN learns iteratively by comparing training examples to targets, calculating output errors, and modifying weights to reduce errors in a backward pass. 3. The code implements BPN on an Iris dataset to classify flower types, training the network over iterations and evaluating performance on test data.
- Author
- ali.nabeel246230
- Language
- EN