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
Summary and Conclusion
- Experience with Python programming language.
- Experience with mobile application development.
- Mobile developers
- Data scientists
Trainer knowledge and easiness with which he presented it.
Piotr - DPDgroup IT Solutions sp. z o.o.
Course - Android Applications Testing
Antonio gave is much background information, best practices and showed us useful tools to speed up our development process.
Course - Cross-platform mobile development with PhoneGap/Apache Cordova
Lectures (David is very knowledgeable on Android)