Deep Learning for Android Apps
INTERACTIVE COURSE

Deep Learning for Android Apps

Intermediate

83 Lessons

16h

Certificate of Completion

AI Explanations
AI Explanations
Deep Learning for Android Apps
1 Project
147 Playgrounds
10 Quizzes
91 Illustrations

Takeaway Skills

An understanding of Python libraries for data processing, analysis, visualization, and deep learning

The ability to apply TensorFlow and Keras to train deep learning models

Working knowledge of training and evaluating deep learning models on various datasets

The ability to convert TensorFlow models to the TensorFlow Lite format and deploy them to Android applications

Course Overview

Traditionally, computationally intensive deep learning (DL) models aren’t deployed to mobile devices due to their limited memory and computational power. But with a lightweight framework such as TensorFlow (TF) Lite, DL models can be deployed and run efficiently on mobile and edge devices, benefiting from fast response time, data privacy, and cost reduction in cloud computing resources. This course aims to equip you with the techniques to deploy DL models on Android devices using the TF Lite framework. Yo...Show More

Course Content

1

Getting Started with Python

2

Machine Learning (ML) and Deep Learning (DL)

3

TensorFlow (TF)

4

Dataset Processing Using TensorFlow

5

Keras: High-Level TF API

6

Quick Start with Android Apps

10 Lessons

7

TensorFlow (TF) Lite

9 Lessons

8

Image Classification Apps Using TF Lite

7 Lessons

9

Object Detection Apps Using TF Lite

7 Lessons

10

Appendix

6 Lessons

DL Model Using TF, Keras, and TF Lite

Project

How You'll Learn

Hands-on Coding Environments

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AI-Powered Learning

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Progress You Can Show

Built-in assessments let you test your skills. Completion certificates let you show them off.

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