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  (c) Stonito, 2021

Neural Network for Pattern

Setting and training this network differs very little from the main neural network described in previous topic.
This network has less parameters and is much simpler to train and use.
Using this trained network you will be able to check any given combination in terms of how good it looks as a jackpot combination, based on previous draws.
Neural Network for Pattern
1

Hidden Layers

The internal structure of neural networks represented by count of nodes in layers between input and output layers.
2

Maximum Epochs

The training will finish when this number of epochs is reached.
3

Minimal Error

The training will finish when the last error value is less or equal to this value.
4

Limit to Last Rounds Only

If checked, the value entered limits the history draws used for training of the number to a last value rounds.
5

Limit to a Date

If checked, the set of history draws is limited only to a draws coming after a selected date.