Okay, I see now what is the black-box and network. How does the training looks like? The network gets a training sample and reacts according to which principal? Is there a scalation?
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Bitcoin neural network analysis week 20/2019: Short squezzed
Okay, I see now what is the black-box and network. How does the training looks like? The network gets a training sample and reacts according to which principal? Is there a scalation?
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The network is training on past data trying to minimise the post-diction error.
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Okay. I guess to see now the intuition in it.
Thanks for the post✌️
Greets
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