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GeneralProblem with input shape of Conv1d in tfagents sequential network Pin
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QuestionNeurone artificiale. Pin
Riccardo120011-Dec-21 4:46
Riccardo120011-Dec-21 4:46 
Tutto è cominciato così:
1) ho dato in input al neurone javascript due numeri, due pesi e un bais.
2 ) il neurone ha calcolato un risultato che divergeva da quello da me previsto (target).
3) il neurone ha assottigliato, man mano, la divergenza fino ad arrivare a zero.
4 ) ora se rimetto al lavoro il neurone, mi da il risultato corretto.
5) questa operazione l'ho ripetuta per una serie di input con relativi target.
6) ho fatto la media di tutti i pesi e bais calcolati e mi ritrovo una retta.
Per ora sono fermo qui, ma il neurone non ha imparato nulla.
Qualche proposta ?

Riccardo


Translation:

It all started like this:
1) I gave input to the javascript neuron two numbers, two weights and a bais.
2) the neuron calculated a result that diverged from the one I predicted (target).
3) the neuron has thinned, gradually, the divergence until it reaches zero.
4) now if I put the neuron back to work, it gives me the correct result.
5) I repeated this operation for a series of inputs with relative targets.
6) I averaged all the weights and bais calculated and I find myself a straight line.
For now I'm stuck here, but the neuron hasn't learned anything.
Any proposals ?

Richard
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