The virtual course "Device-Based Models with TensorFlow Lite - Virtual Course - Coursera", is a course with different contents and offers video classes from . Explore its essential features, and click the orange button for detailed information on the Coursera e-Learning platform.
Bringing a machine learning model into the real world involves much 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 apps. You'll learn how to prepare models for lower-power battery-powered devices, then run models on Android and iOS platforms. Finally, you'll explore how to implement in embedded systems using TensorFlow on the Raspberry Pi and microcontrollers. This specialization builds on our TensorFlow in Practice specialization. If you are new to TensorFlow, we recommend that you first take the TensorFlow Hands-On Specialization. To develop a deeper and more fundamental understanding of how neural networks work,
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