Demo Android application utilizing quantized MobileNetV3 trained on MNIST dataset.
Android 5.0 Lollipop (API 21)
Open in Android Studio and click Run
.
MobileNetV3 small with depth multiplier 1.0 and input image size 128x128.
0.9674
Android application recognizing digits using quantized 8-bit MobileNetV3.
License: Apache License 2.0
Demo Android application utilizing quantized MobileNetV3 trained on MNIST dataset.
Android 5.0 Lollipop (API 21)
Open in Android Studio and click Run
.
MobileNetV3 small with depth multiplier 1.0 and input image size 128x128.
0.9674
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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