Posted by Wei Wei, Developer Advocate
and recently, we are going to write one last tutorial and port the app to Flutter.
🎥 Künstliche Intelligenz Videos 🕛 kürzlich 3 Min Lesezeit
Building a board game with the TFLite plugin for Flutter
Since we already have the model trained with TensorFlow and converted to TFLite, we can just load the model with TFLite interpreter:
void _loadModel() async { |
Then we pass in the user board state and help the game agent identify the most promising position to strike next (please refer to our previous blog posts if you need a refresher on the game rules) by running TFLite inference:
int predict(List<List<double>> boardState) { |
That's it! With some .
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If you want to dig digger, there are a couple of things you can try:
- Convert the TFAgents-trained model to TFLite and run it with the plugin
- Leverage the RL technique we have used and build a new agent for the tic tac toe game in the Flutter , @TensorFlow, and your developer communities!↗ Original-Artikel auf blog.tensorflow.org lesenVollständiger Original-BerichtAusführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf blog.tensorflow.org.
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