Synaptics/MobileNetV2

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MobileNetV2

This model - MobileNetV2 is generated from tf.keras.applications using tf_model_generator.py. The dataset for int8 quantization is done using random data.

Available formats: int16, int8, float32, float16

The kaggle.tflite model is the original quantized model published by Google. This model uses v1 tflite quantization.

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Model size: 59 MB
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MobileNetV2

This model - MobileNetV2 is generated from tf.keras.applications using tf_model_generator.py. The dataset for int8 quantization is done using random data.

Available formats: int16, int8, float32, float16

The kaggle.tflite model is the original quantized model published by Google. This model uses v1 tflite quantization.