コース概要
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
要求
- Experience with Python programming language.
- Experience with mobile application development.
Audience
- Mobile developers
- Data scientists
お客様の声 (4)
トレーナーはダガーのさらなる問題を喜んで調査しました。
Susheel - Home
コース - Dependency Injection with Dagger 2
Machine Translated
トレーナーの知識とそれを提示する簡単さ。
Piotr - DPDgroup IT Solutions sp. z o.o.
コース - Android Applications Testing
Machine Translated
Lectures (David is very knowledgeable on Android)
Johnny Miller - FedEx
コース - Android Development
Antonio gave is much background information, best practices and showed us useful tools to speed up our development process.