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README.md

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 # MobileNetV2
 
-This model - MobileNetV2 is generated from `tf.keras.applications` using `https://github.com/syna-astra-dev/iree-synaptics-synpu/blob/main/tests/model_generator/tf_model_generator.py`. The dataset for int8 quantization is done using random data.
+This model - MobileNetV2 is generated from `tf.keras.applications` using [tf_model_generator.py](https://github.com/syna-astra-dev/iree-synaptics-synpu/blob/main/tests/model_generator/tf_model_generator.py). The dataset for int8 quantization is done using random data.
 
-Available formats - int16, int8, float32, float16
+Available formats: int16, int8, float32, float16
 
-The kaggle.tflite model is the original quantized model published by Google at https://www.kaggle.com/models/tensorflow/mobilenet-v2/tfLite/1-0-224-quantized.
+The `kaggle.tflite` model is the [original quantized model](https://www.kaggle.com/models/tensorflow/mobilenet-v2/tfLite/1-0-224-quantized) published by Google.