https://github.com/hansemannn/titanium-deep-learning
Use the JetPac DeepBeliefSDK framework in Appcelerator Titanium
https://github.com/hansemannn/titanium-deep-learning
deep-learning javascript machine-learning native neural-networks titanium
Last synced: about 1 year ago
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Use the JetPac DeepBeliefSDK framework in Appcelerator Titanium
- Host: GitHub
- URL: https://github.com/hansemannn/titanium-deep-learning
- Owner: hansemannn
- License: other
- Created: 2017-05-21T20:22:58.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-06-23T17:03:56.000Z (about 9 years ago)
- Last Synced: 2025-03-29T01:11:25.836Z (about 1 year ago)
- Topics: deep-learning, javascript, machine-learning, native, neural-networks, titanium
- Language: Python
- Size: 1.88 MB
- Stars: 11
- Watchers: 4
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Titanium Deep-Learning
Use the JetPac DeepBeliefSDK framework in Appcelerator Titanium.
> **Note**: This module does not support apps running with app-thinning enabled so far. It will be part of upcoming versions and is scheduled already.
## Example
```js
var TiDeepLearning = require('ti.deeplearning');
TiDeepLearning.initializeNetwork({
name: 'jetpac.ntwk' // Search and download from the DeepBelief SDK Github page
});
TiDeepLearning.classifyImage({
image: 'macintosh.jpg',
minimumThreshold: 0.01,
decay: 0.75,
callback: function(e) {
Ti.API.info(e.result);
}
});
```
The above example with return an array with predictions, like this:
```
(
{
label = printer;
value = "0.1368110626935959";
},
{
label = monitor;
value = "0.06563640385866165";
},
{
label = "desktop computer";
value = "0.143329456448555";
},
{
label = screen;
value = "0.4579531848430634";
},
{
label = iPod;
value = "0.01504476089030504";
},
{
label = "cash machine";
value = "0.02499096281826496";
},
{
label = safe;
value = "0.01404030714184046";
},
{
label = "entertainment center";
value = "0.01761411875486374";
},
{
label = television;
value = "0.06137070804834366";
}
)
```
Note that the values highly depend on your network and complexity of classification.
For a full example, check the demos in `example/app.js`.
## Author
Hans Knoechel ([@hansemannnn](https://twitter.com/hansemannnn) / [Web](http://hans-knoechel.de))
## License
MIT
## Contributing
Code contributions are greatly appreciated, please submit a new [pull request](https://github.com/hansemannn/titanium-deep-learning/pull/new/master)!