https://github.com/sondosaabed/introduction-to-tensorflow-lite

Learned how to deploy deep learning models on Android with the TensorFlow Lite framework.
https://github.com/sondosaabed/introduction-to-tensorflow-lite

android-application deep-learning tensorflow-lite

Last synced: 3 months ago
JSON representation

Learned how to deploy deep learning models on Android with the TensorFlow Lite framework.

• Host: GitHub
• URL: https://github.com/sondosaabed/introduction-to-tensorflow-lite
• Owner: sondosaabed
• License: mit
• Created: 2023-10-16T13:17:44.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-09T22:28:51.000Z (over 1 year ago)
• Last Synced: 2025-03-23T23:42:57.257Z (7 months ago)
• Topics: android-application, deep-learning, tensorflow-lite
• Language: Jupyter Notebook
• Homepage:
• Size: 1.29 MB
• Stars: 9
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Introduction-to-Tensorflow-lite

This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software developers.

![image](https://github.com/sondosaabed/Introduction-to-Tensorflow-lite/assets/65151701/990b6f99-70b9-412b-ae60-b4ed9c18795a)

## Overview

Learned how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.  Got hands-on experience with the TensorFlow Lite framework as I deployed deep learning models on Android, iOS, and even an embedded Linux platform. By the end of this course, I had all the skills necessary to start deploying my own deep learning model into my apps.

### Syllabus

#### Introduction to TensorFlow Lite

- Learned how TensorFlow works under the hood.

- Learned how to quantize models.

- Learned how to test your TF Lite Models in Python.

#### TensorFlow Lite on Android

- Deployed a TF Lite Model to an Android app that classifies images of cats and dogs.

- Deployed a TF Lite Model to an Android app that classifies images of various objects.

- Deployed a TF Lite Model to an Android app that performs object detection.

- Deployed a TF Lite Model to an Android app that recognizes speech commands.