Training Hopfield Neural Networks Based on Image Input

This user-friendly program features an intuitive graphical interface for loading images and training Hopfield neural networks. The implementation allows adding noise to test pattern recognition rates, employing Hebbian learning rules for weight matrix computation and asynchronous updates for state convergence.