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Hi all,

am I the only one who gets wrong classifications with the RProp training method in the neural network demo.

In 28% of the cases the classification ist wrong. Backpropagation works fine for me. I attached some screenshots with the wrong classification.

Is this an error in the component or is this normal for RProp?

greetings
Benjamin

Hi! You're right, you are re-training a network (or overtraining).

Regards,
Dave

Hi

If I understand it right the problem with re-training should be solved if I add at the beginning of the training.

Unfortunately this solves the problem not completely. The wrong classifications become rare but they still occur.

Greetings
Benjamin