Qnet 2000 |
Training Neural Networks with Qnet
Once the training data has been organized for the model and the network design features have been chosen, network training can begin. At this point Qnet should be started, a new network definition file selected and a training run initiated. The training setup dialog window is used to specify the network configuration, the training data file information and the initial training parameters. Depending on model size and complexity, the training process may take minutes, hours or even days for very large problems. Qnet’s fast execution speeds and assorted analysis tools are designed to simplify the training process. The graphing and analysis tools help identify the quality of learning and optimize performance. The training parameters may be interactively changed during the training process. Topics include:
Learning Rates and Learn Rate Control