Introduction to TensorFlow Lite

Free Course
8 weeks duration

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

In the course Introduction to TensorFlow Lite on Udacity, you will learn about the inner workings of TensorFlow and how to quantize models. You will also learn how to test your TF Lite models in Python. The course covers deploying TF Lite models to Android apps for image classification of cats and dogs, various objects, object detection, and speech command recognition. Additionally, you will learn how to deploy TF Lite models to iOS apps for similar tasks. The course also includes deploying TF Lite models to Linux embedded platforms for image classification of cats and dogs, various objects, and object detection.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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