| Publisher | VirtualSTAR |
|---|---|
| File size | 3.34MB |
| Number of files | 114 |
| Latest version | 1.25.0a |
| Latest release date | 2024-04-22 05:11:53 |
| First release date | 2019-02-05 01:24:09 |
| Supported Unity versions | 2018.4.2 or higher |
A set of scripts for creating and learning your own artificial neural network.
"ANN Perceptron" is also present and supported.
Creating your own artificial neural network (ANN) is not a big issue. But to teach the ANN to do certain tasks is a real challenge. In order to ease the task of creating and teaching the ANN, I wrote a set of scripts, that will do everything for you. The only thing that is needed from you is to “explain” the ANN properly, what information is needed to be learned.
Flexible settings for the artificial neural network and its learning.
Ten activation functions.
Two methods of learning for "ANN Perceptron":
- Backpropagation.
- Random Generation.
One method of learning for "ANN":
- NEAT (NeuroEvolution of Augmenting Topologies).
The auxiliary interfaces.
Tutorial in four lessons.
Eight demonstrations.
"ANN Perceptron" is also present and supported.
Creating your own artificial neural network (ANN) is not a big issue. But to teach the ANN to do certain tasks is a real challenge. In order to ease the task of creating and teaching the ANN, I wrote a set of scripts, that will do everything for you. The only thing that is needed from you is to “explain” the ANN properly, what information is needed to be learned.
Flexible settings for the artificial neural network and its learning.
Ten activation functions.
Two methods of learning for "ANN Perceptron":
- Backpropagation.
- Random Generation.
One method of learning for "ANN":
- NEAT (NeuroEvolution of Augmenting Topologies).
The auxiliary interfaces.
Tutorial in four lessons.
Eight demonstrations.
