Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: $15. The latest store price is $15, matching the lowest recorded price shown here.
View 2 recorded prices
| Sale start / price check | Price | Observation |
|---|---|---|
| $15 | Latest store price | |
| $15 | Unity Permanent Decrease 2026-10-06 2026-10-13 |
Sale and bundle history
The 1 most recent recorded offers including this asset. Past offers may no longer be available. Bundle prices cover a package, not this asset alone.
About ANN&TOOLS
- Tools, Systems & Learning > Learning & Tutorials
A set of scripts for creating and learning your own artificial neural network.
Contains "ANN Perceptron" and "ANN NEAT".
"ANN NEAT" is more advanced in this asset.
Now with "Editor ANN" - you can create or edit your ANN.
Creating your own artificial neural network (ANN) is not a big issue. However, 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, and 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.
Contains "ANN Perceptron" and "ANN NEAT".
"ANN NEAT" is more advanced in this asset.
Now with "Editor ANN" - you can create or edit your ANN.
Creating your own artificial neural network (ANN) is not a big issue. However, 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, and 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.