I'm new with neuronal-networks. In your example of backpropagation, you update the weights, which are pointing from the hidden to the output layer, immediatly after calculating the output deltas. After that, you calculate the hidden_deltas using the updated weights. In other documentation all the deltas are calculated and after that, the weights of the network were updated.
So what is correct?
I tried to calculate all the deltas first, but then the result is not as good as in your version.
I'm new with neuronal-networks. In your example of backpropagation, you update the weights, which are pointing from the hidden to the output layer, immediatly after calculating the output deltas. After that, you calculate the hidden_deltas using the updated weights. In other documentation all the deltas are calculated and after that, the weights of the network were updated. So what is correct?
I tried to calculate all the deltas first, but then the result is not as good as in your version.