Optimization of neural network learning and topology improvment through genetic pruning during and after training.
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Trying to achieve genetic pruning during and after training process of multi-layer neural network to optimize topology and training time. ...learn more
Overview / Usage
The goal is the incorporate the genetic pruning algorithms during and after the learning of the multi layered neural network in improve the training speed, decrease the required re-training due to pruning and improve the topology and its optimization for real life usage.