Course Code

tensorflowliteandroid

Duration

21 hours (usually 3 days including breaks)

Requirements

Experience with Python programming language.
Experience with mobile application development.

Audience

Mobile developers
Data scientists

Overview

TensorFlow Lite is an open source deep learning framework for mobile devices and embedded systems.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop mobile applications with deep learning capabilities.

By the end of this training, participants will be able to:

Install and configure TensorFlow Lite.
Understand the principles behind TensorFlow, machine learning and deep learning.
Load TensorFlow Models onto an Android device.
Enable deep learning and machine learning functionality such as computer vision and natural language recognition in a mobile application.

Format of the Course

Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Course Customization Options

To request a customized training for this course, please contact us to arrange.
To learn more about TensorFlow, please visit: https://www.tensorflow.org/lite/

Course Outline

Introduction

Overview of TensorFlow Lite Features and Design

Machine Learning and Deep Learning Fundamentals

Preparing the Mobile App Development Environment

Creating an App for Object Recognition

Setting up TensorFlow Lite

Selecting a TensorFlow Model

Converting the TensorFlow Model

Loading the TensorFlow Model onto a Mobile Device

Optimizing the TensorFlow Model for Mobile Devices

Adding Chat Capabilities for Smarter Replies

Loading a Pre-trained TensorFlow Model

Retraining a TensorFlow Model

Pre-processing a Dataset

Setting the Hyperparameters

Deploying the AI Enabled App

Running TensorFlow Models on Other Embedded Devices

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★

I really appreciated the crystal clear answers of Chris to our questions.

Léo Dubus

Course:Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple

I generally enjoyed the knowledgeable trainer.

Sridhar Voorakkara

Course:Neural Networks Fundamentals using TensorFlow as Example

I was amazed at the standard of this class - I would say that it was university standard.

David Relihan

Course:Neural Networks Fundamentals using TensorFlow as Example

Very good all round overview. Good background into why Tensorflow operates as it does.

Kieran Conboy

Course:Neural Networks Fundamentals using TensorFlow as Example

I liked the opportunities to ask questions and get more in depth explanations of the theory.

Sharon Ruane

Course:Neural Networks Fundamentals using TensorFlow as Example

Very updated approach or CPI (tensor flow, era, learn) to do machine learning.

Paul Lee

Course:TensorFlow for Image Recognition

Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.

Commerzbank AG

Course:Neural Networks Fundamentals using TensorFlow as Example

I was benefit from topic selection. Style of training. Practice orientation.

Commerzbank AG

Course:Neural Networks Fundamentals using TensorFlow as Example

About face area.

中移物联网

Course:Deep Learning for NLP (Natural Language Processing)

I started with close to zero knowledge, and by the end I was able to build and train my own networks.

Huawei Technologies Duesseldorf GmbH

Course:TensorFlow for Image Recognition

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI

Course:Natural Language Processing with TensorFlow

the way he present everything with examples and training was so useful

Ibrahim Mohammedameen - TWPI

Course:Natural Language Processing with TensorFlow

Very knowledgeable

Usama Adam - TWPI

Course:Natural Language Processing with TensorFlow

The excersise where we should train a network to approximate a function

Nercia Utbildning AB

Course:Deep Learning with TensorFlow 2.0

Tomasz really know the information well and the course was well paced.

Raju Krishnamurthy - Google

Course:TensorFlow Extended (TFX)

A wide range of topics covered and substantial knowledge of the leaders.

ING Bank Śląski S.A.; Kamil Kurek Programowanie