good or not if change 32 to max at 256
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I try to use modify sample code for keras to use pubkey dataset
use keras predict titanic and keras predict California housing
just test may be wrong algorithm that should be use
on github have a ot of bitcoin trading bot use neural networks predict price easy than predict elliptic curve
I'm no ML expert but I don't think adding more NN layers is going to improve the accuracy of this neural network. Remember that we basically have a hexadecimal number as input (trying to feed millions of hex numbers as input to the same neurons makes no sense because the numbers have no relationship with each other), and as such, they should be in
bytes form instead of ASCII, and then we'd do something like assign each bit of the number to one or more input neurons, and
then apply layers on it.
If you do want to use millions of numbers as input then you should use a ML classification algorithm and also give as input the polarity of these points for training. Neural networks are meant to work on one input only e.g. given a drawing of the number "2", identify which digit it is.