Deep Learning for Android Apps

Delve into deploying DL models on Android using TensorFlow Lite. Gain insights into training, converting models, and practical applications through case studies for efficient mobile integration.

Intermediate

83 Lessons

16h

Certificate of Completion

Delve into deploying DL models on Android using TensorFlow Lite. Gain insights into training, converting models, and practical applications through case studies for efficient mobile integration.

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Explanations

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This course includes

1 Project

147 Playgrounds

10 Quizzes

This course includes

1 Project

147 Playgrounds

10 Quizzes

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

TAKEAWAY SKILLS

Python 3

Deep Learning

Deep Learning Models In Keras

What You'll Learn

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

What You'll Learn

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

Course Content

Getting Started with Python

Learn how to use Python's core and collection data types, control flow, functions, file handling, and key libraries.

Python Data Types

Python Collection Data Types

Conditional Statements and Loops Functions in Python File Handling in Python Python Libraries and Frameworks Quiz: Python

Machine Learning (ML) and Deep Learning (DL)

Get started with machine learning principles, supervised/unsupervised learning, neural networks, and transfer learning for Android apps.

What is Machine Learning?Supervised Learning: Regression Supervised Learning: Classification Unsupervised Learning Neural Networks and Deep Learning Convolutional Neural Networks Recurrent Neural Networks Transfer Learning Quiz: ML and DL

Customer Segmentation with K-Means Clustering

Project

TensorFlow (TF)

Examine TensorFlow's framework, core APIs, constants, operations, graph building, and visualizing with TensorBoard.

TensorFlow Framework TensorFlow Core: Low-Level TF API TF Constants and Variables TF Ops (Part 1)TF Ops (Part 2)Building Graphs and Visualizing Using TensorBoard Quiz: TF

Cats vs Dogs Classification with Convolutional Neural Networks

Project

Dataset Processing Using TensorFlow

Break down complex ideas for efficient dataset handling using TensorFlow's tf.data API.

Loading and Generating a Dataset Data Preprocessing (Part 1)Data Preprocessing (Part 2)Data Splits Using the Slicing API TF’s Image Processing Module (Part 1)TF‘s Image Processing Module (Part 2)Data Augmentation Quiz: Data Processing Using TF

Keras: High-Level TF API

Take a closer look at Keras APIs, model creation, layers management, training, and evaluation.

Keras Layers API (Part 1)Keras Layers API (Part 2)Keras Sequential API Keras Functional API Model Subclassing (Part 1)Model Subclassing (Part 2)Image Processing Layers Image Augmentation Layers DL Model Training, Testing, and Evaluation Callbacks Saving and Loading a TF Model Transfer Learning for Custom Model Creation Quiz: Keras

Diabetes Prediction Using Keras

Project

Quick Start with Android Apps

10 Lessons

Follow the process of building, structuring, and managing components in Android apps.

TensorFlow (TF) Lite

9 Lessons

Master deploying optimized deep learning models on mobile with TensorFlow Lite.

Image Classification Apps Using TF Lite

7 Lessons

Step through creating image classification apps using TF Lite models and Task Library on Android.

Object Detection Apps Using TF Lite

7 Lessons

Walk through building Android object detection apps using TF Lite and ML Kit.

10.

Appendix

6 Lessons

Explore Kotlin essentials, from basics to advanced concepts like classes, lambdas, and generics.

DL Model Using TF, Keras, and TF Lite

Project

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

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DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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