Working of backpropagation algorithms around 'net.trainparam.goal'
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
I have been working on neural networks for few months now. Can anyone please explain the working of net.trainparam.goal? Its detailed description and how the backpropagation algorithm works around this? I have an idea that the network training is stopped as soon as the goal is reached (one of the many stopping criterias) so kindly answer the question around the lines I have asked. Many thanks
0 comentarios
Respuestas (0)
Ver también
Categorías
Más información sobre Sequence and Numeric Feature Data Workflows en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!