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In this repository, you will receive information (notebooks) of TensorFlow model optimization using TensorRT and TF-Lite. You will be able to: Understand the fundamentals of optimization using TF-TRT and TF-Lite, deploy deep learning models by reduced precision (FP32, FP16 and INT8) on the inference stage and calibrate the weights

License: MIT License

Python 0.09% Jupyter Notebook 99.91%
deep-learning tensorflow tensorrt tf-lite

accelerate-deep-learning-inferences's Introduction

I'm a software engineer who is passionate about making open-source more accessible, creating technology to elevate people, and building community.

Really passionate about technology, computer vision, machine and deep learning engineer. I'm working hard in cloud and AI worlds. Always open to knowledge, to learn, observe, reflect and then to take the best of myself and share it with others. I'm thrilled by the idea of ownership, passionate about creating new AI platforms, features and services from scratch, and thinking about to one day manage the ambiguity and pace of a company shipping software in cycles measured not by years, but by weeks.

Lover of AI DevOps and make our intelligent models the capability to deploy everywhere with IoT devices and so interested every time to listen everybody, teachers, developers, geeks, or people who simply are interesting and creative, don't doubt to contact me!

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Microsoft Artificial Intelligence MVP

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