When we want to make a looping network it overflows in backward propagation about neuralduino HOT 4 OPEN

And for the data predictions too
Like
Max multiplication mun = x (w)²

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If the intention of a looping network is clear then it might suffice to stop back propagation at a node that has already been visited, this can be implemented by a back propagation flag/counter instead of a "max propagation" logic. Sometimes it is better to avoid constants in a library.

Can you please describe what the intention of a looping network is ? I am not actively developing and would love to see/test pull requests :-)

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Or another idea is to make a clock and every tick data flows just one move and a max tick can be implemented to make it not overflow and each tick ends when all oporations in that tick are complete

Max tick = x * ( (neuron num )⁵ )½ / (w num)²
Its ⁵*½ because in some cases neuron num ² = w and
X tick is a bad number

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Like

If the intention of a looping network is clear then it might suffice to stop back propagation at a node that has already been visited, this can be implemented by a back propagation flag/counter instead of a "max propagation" logic. Sometimes it is better to avoid constants in a library.

Can you please describe what the intention of a looping network is ? I am not actively developing and would love to see/test pull requests :-)

Like a is input for b and b is input for c and c is input for a
Like this

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