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
Requirements
- Experience with Python programming language.
- Experience with mobile application development.
Audience
- Mobile developers
- Data scientists
Testimonials (4)
Trainer knowledge and easiness with which he presented it.
Piotr - DPDgroup IT Solutions sp. z o.o.
Course - Android Applications Testing
Le naturel et la convivialité de la formatrice. La formatrice adapte son cours et les exercices aux demandes (formation interactive).
Emmanuel BURON - Altim consulting
Course - Android TV
I really enjoyed the fairly broad coverage of topics.
john harrigan
Course - Android Development
Antonio gave is much background information, best practices and showed us useful tools to speed up our development process.