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Software Development

11 January, 2021

Bringing a machine learning model into the real wo...

Free with coupon

Device-based Models with TensorFlow Lite

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.

This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Affiliate disclosure: Course Kingdom participates in affiliate programmes (including Udemy via the Cuelinks network). Some links on this page are affiliate links — if you click and enroll, we may earn a small commission at no extra cost to you. Learn more.

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