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quantized-mobilenetv3-mnist-android's Introduction

Quantized MobileNetV3 MNIST Android

Demo Android application utilizing quantized MobileNetV3 trained on MNIST dataset.

Minimal requirements

Android 5.0 Lollipop (API 21)

Installation instructions

Open in Android Studio and click Run.

Model details

MobileNetV3 small with depth multiplier 1.0 and input image size 128x128.

Test accuracy

0.9674

Confusion matrix

License

Apache License 2.0

quantized-mobilenetv3-mnist-android's People

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quantized-mobilenetv3-mnist-android's Issues

depthwise conv with depth_multiplier

I have a question about the tflite model. May I ask why you try to use depthwise conv with depth_multiplier=16 as first layer but not use the normal conv with output channel = 16 which is mentioned in the paper.

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