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Understanding Back Propagation Networks by alvinverghese is a document available to read on EtoBox.
What is Understanding Back Propagation Networks about?
The document describes back propagation networks (BPNs), a type of neural network that uses backpropagation as a learning algorithm. BPNs have a multi-layer feedforward architecture consisting of an input layer, hidden layers, and an output layer. During training, the error is calculated at the output and propagated back through the network to update the weights between layers. Factors that affect training include the initial weights, learning rate, momentum, number of training examples, and number of hidde
- Author
- alvinverghese
- Language
- EN