Coursera.org - Device-based Models with TensorFlow Lite

Coursera.org – Device-based Models with TensorFlow Lite Free Download. This second course teaches you how to run your machine learning models in mobile applications

Coursera.org – Device-based Models with TensorFlow Lite Description

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.

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization