RNN Learner (Text) Apk
Apk Infos
| Version | 1.0 |
| Rating | 3.8/5, based on 20 votes |
| Size | 3.5 MB |
| Requires Android | Android 4.4+ (KitKat) |
| Author's Notes | Recurrent Neural Network (RNN) on Android That Trains Itself |
About RNN Learner (Text) APK
Table Of Contents
Description
** WARNING: THIS APP DRAINS BATTERY WHILE TRAINING. IT IS FOR DEMONSTRATION / EDUCATION PURPOSE ONLY. IF YOU WANT TO SAVE BATTERY, DO NOT START THE TRAINING.**This app shows how to implement a simple Recurrent Neural Network (RNN). Here is how you can train this app to learn from a given text file and try to predict some output:
1. Click on Add New and select a text file.
2. It will show a pop up where you can modify the number of hidden layers you want for your training set.
3. Also you can select whether you want to build the vocabulary based on characters or words. (by characters: {A, B, C, 1, 2, 3,...} and by words: {Hello, World, How are, you, ...}
4. Simple add your training set and start training.
5. Click on "Predict" button to generate some output based on what it has learned so far.
If you want to know the technical functionality of the RNN or how to implement RNN, you can click on "Knowledge Base" in the app.
Suggestion: I know that mobile phone is not a good platform to get the best out of RNN. But you can get really good output quickly if you create the training sets using small text files. How fast your phone will train itself, depends on the processing speed of your phone.
How to install RNN Learner (Text) APK on Android phone or tablet?
Download RNN Learner (Text) APK file from ApkClean, then follow these steps:
Update Phone Settings
- Go to your phone Settings page
- Tap Security or Applications (varies with device)
- Check the Unknown Sources box
- Confirm with OK
Go to Downloads
- Open Downloads on your device by going to My Files or Files
- Tap the APK file you downloaded (hemendra.rnnlearnertext-v1.0-ApkClean.apk)
- Tap Install when prompted, the APK file you downloaded will be installed on your device.
Older Versions
| 1.0 (1) | 3.5 MB |
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