amitshekhariitbhu/AndroidTensorFlowMNISTExample
An Android app demonstrating TensorFlow-based MNIST handwritten digit classification deployed on mobile.
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This repository provides an example of building a machine learning model for MNIST handwritten digit classification and deploying it to Android. It includes Python scripts to train the model and integrates TensorFlow for Android inference. The project demonstrates how to use pre-trained models within a mobile application for real-time digit recognition from user-drawn input.
Frequently asked
- What is amitshekhariitbhu/AndroidTensorFlowMNISTExample?
- An Android app demonstrating TensorFlow-based MNIST handwritten digit classification deployed on mobile.
- Is AndroidTensorFlowMNISTExample open source?
- Yes — amitshekhariitbhu/AndroidTensorFlowMNISTExample is open source, released under the Apache-2.0 license.
- What language is AndroidTensorFlowMNISTExample written in?
- amitshekhariitbhu/AndroidTensorFlowMNISTExample is primarily written in Java.
- How popular is AndroidTensorFlowMNISTExample?
- amitshekhariitbhu/AndroidTensorFlowMNISTExample has 462 stars on GitHub.
- Where can I find AndroidTensorFlowMNISTExample?
- amitshekhariitbhu/AndroidTensorFlowMNISTExample is on GitHub at https://github.com/amitshekhariitbhu/AndroidTensorFlowMNISTExample.