ANN MACD ETHEREUM

21 thg 10, 2019

This script is trained with Ethereum (Timeframe : 4 hours ).
Details :


Input columns: 19
Output columns: 1
Excluded columns: 0

Training example rows: 300
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0

Input nodes connected: 19

Hidden layer 1 nodes: 8
Hidden layer 2 nodes: 1
Hidden layer 3 nodes: 0

Output nodes: 1

Learning rate: 0.7000
Momentum: 0.8000

Training error: 0.009378 ( That's a very good error coefficient. )


Many thanks to wroclai for help.

Deep learning series will continue!