sondosaabed/Introduction-to-Tensorflow-lite
Learned how to deploy deep learning models on Android with the TensorFlow Lite framework.
This project helps software developers integrate trained deep learning models into their mobile and embedded applications. It takes an existing deep learning model and shows how to convert, optimize, and deploy it onto Android, iOS, or embedded Linux devices. Mobile app developers and embedded system developers who want to add AI capabilities to their products would use this.
No commits in the last 6 months.
Use this if you are a software developer looking to bring AI functionality, such as image classification or speech recognition, directly into your mobile or embedded applications.
Not ideal if you are an end-user without programming experience or are only interested in training deep learning models rather than deploying them.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 09, 2024
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