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About The Counterpropagation Network The Counterpropagation Network
The document summarizes the training process of the Counterpropagation Network, a type of neural network. It has two phases: 1. The first phase trains the hidden layer using competitive learning so each hidden unit becomes selectively tuned to a subset of input patterns. 2. The second phase trains the output layer to produce targets close to the desired outputs for the winning hidden units' associated input patterns. After training, the network maps its training inputs to outputs close to the desired targets due to the competitive hidden units enabling nonlinear mappings with linear output units.
Detailed Information
| Author: | ['Kirtesh Sharma'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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