Quote from: fxsniper on Today at 01:22:24 AM

good or not if change 32 to max at 256

Layer (type) Output Shape
=============================
input_1 (InputLayer) [(None, 256)]
_____________________________________
multi_category_encoding (Mul (None, 256)
_____________________________________
dense (Dense) (None, 32)
_____________________________________
re_lu (ReLU) (None, 32)
_____________________________________
dense_1 (Dense) (None, 32)
_____________________________________
re_lu_1 (ReLU) (None, 32)
_____________________________________
regression_head_1 (Dense) (None, 1)
=============================

I will test add more 5 layer
activate I use ReLU

Layer (type) Output Shape
=============================
input_1 (InputLayer) [(None, 256)]
_____________________________________
multi_category_encoding (Mul (None, 256)
_____________________________________
dense (Dense) (None, 256)
_____________________________________
re_lu (ReLU) (None, 256)
_____________________________________
dense_1 (Dense) (None, 128)
_____________________________________
re_lu_1 (ReLU) (None, 128)
_____________________________________
regression_head_1 (Dense) (None, 1)
=============================

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

Don't forget to make youre X,Y length to 32 or 256.
while(X.length != 256)
X = "0" + X;