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Integrating Deep Neural Network Models into Mobile Applications

Sep 25, 2019 · Zhongzheng District, Taiwan

We will discuss Quantization and other techniques used for Integrating Deep Neural Network Models into Mobile Applications. Please, try to read the following (or, at least, some of the following) articles if you have some time.

i. Quantizing deep convolutional networks for efficient inference: A whitepaper: https://arxiv.org/abs/1806.08342
ii. Image Recognition With ML Kit: https://www.raywenderlich.com/6064-image-recognition-with-ml-kit
iii. Using TensorFlow Lite and ML Kit to build custom machine learning models for Android: https://heartbeat.fritz.ai/using-tensorflow-lite-and-ml-kit-to-build-custom-machine-learning-models-for-android-a7e272d3c61e
iv. Deploying PyTorch and Keras Models to Android with TensorFlow Mobile: https://heartbeat.fritz.ai/deploying-pytorch-and-keras-models-to-android-with-tensorflow-mobile-a16a1fb83f2

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