We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
Restricted Boltzmann Machine
Solver for Restricted Boltzmann machines.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Test Data | Test | Data to test against learning data. | Number |
| Training Inputs | Inputs | The list of training inputs. | Number |
| Training Output | Output | The list of training utputs. | Number |
| Momentum | Momentum | Momentum term of the learning algorithm. | Number |
| Learning Rate | Rate | Learning rate of the learning algorithm. | Number |
| Decay | Decay | Weight decay constant of the learning algorithm. | Number |
| Alpha | Alpha | Sigmoid's alpha value. | Number |
| Iterations | Iterations | Number of iterations to learn | Integer |
| Random Seed | seed | Random seed for the learning algorithm | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Result | Result | Resultant prediction | Generic Data |
Site design © Robin Rodricks.
LunchBox and associated data © 2024 Nathan Miller.
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.
Hosted by GitHub