Synaptics/MobileNetV2

1---2license: mit3language:4- en5library_name: keras6tags:7- tests8- tf_model_zoo9---10# MobileNetV211 12This model - MobileNetV2 is generated from `tf.keras.applications` 13using [tf_model_generator.py](https://github.com/syna-astra-dev/iree-synaptics-synpu/blob/main/tests/model_generator/tf_model_generator.py). 14The dataset for int8 quantization is done using random data.15 16Available formats: int16, int8, float32, float1617 18The `kaggle.tflite` model is the [original quantized model](https://www.kaggle.com/models/tensorflow/mobilenet-v2/tfLite/1-0-224-quantized) 19published by Google. This model uses v1 tflite quantization.20