Deep Learning for Android Apps

This course aims to equip you with the techniques to train the DL models, convert them to the TF Lite format, and deploy these models into your Android apps.

Intermediate

83 Lessons

16h

Certificate of Completion

This course aims to equip you with the techniques to train the DL models, convert them to the TF Lite format, and deploy these models into your Android apps.

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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

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)

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

TensorFlow (TF)

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

Dataset Processing Using TensorFlow

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

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

Quick Start with Android Apps

10 Lessons

TensorFlow (TF) Lite

9 Lessons

Image Classification Apps Using TF Lite

7 Lessons

Object Detection Apps Using TF Lite

7 Lessons

Appendix

6 Lessons

DL Model Using TF, Keras, and TF Lite

Project

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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