This course is part of TensorFlow: Data and Deployment Specialization

Instructor: Laurence Moroney

What you'll learn

  •   Prepare models for battery-operated devices
  •   Execute models on Android and iOS platforms
  •   Deploy models on embedded systems like Raspberry Pi and microcontrollers
  • Skills you'll gain

    There are 4 modules in this course

    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.

    Running a TF model in an Android App

    Building the TensorFLow model on IOS

    TensorFlow Lite on devices

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