TensorFlow TFLite Debugger

Debug and Test TensorFlow Lite

Grátis

1.1for iPhone, iPad and more

Anh Nguyen

Developer

9,6 MB

Size

Sep 4, 2023

Update Date

Developer Tools

Category

Age Rating

App Store Website do desenvolvedor

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

TensorFlow TFLite Debugger Capturas de tela

iPad

iPhone

About TensorFlow TFLite Debugger

The TFLite Debugger app is an essential tool for iOS developers and machine learning enthusiasts who want to streamline their TensorFlow Lite model debugging and testing processes on iOS devices. This powerful and intuitive app empowers you to effortlessly evaluate, validate, and optimize TensorFlow Lite models, ensuring their seamless integration into your iOS applications.

Key Features:
1. Model Evaluation: With the TensorFlow Lite Debug and Test App, you can easily load and evaluate your TensorFlow Lite models directly on your iOS device. This allows you to quickly assess the performance of your models in a real-world environment.

2. Model Testing: Debugging TensorFlow Lite models becomes effortless with the app's interactive testing capabilities. Seamlessly import models from local storage or the Files app, simplifying integration and allowing you to identify and resolve issues effectively.

3. Performance Analysis: Assess the performance of your TensorFlow Lite models using detailed metrics provided by the app. Measure parameters like inference time, disk and memory usage to optimize your models and ensure optimal performance on iOS devices.

4. User-Friendly Interface: The app provides an intuitive and user-friendly interface, making it easy for both beginners and experienced developers to navigate and utilize its powerful features.

5. Offline Capability: Enjoy the convenience of using the app even in offline environments. No constant internet connection is required, ensuring uninterrupted development and testing.

Whether you're a professional iOS developer working on machine learning projects or a hobbyist exploring the possibilities of TensorFlow Lite, the TFLite Debugger App is an indispensable companion. Streamline your debugging and testing process, enhance model performance, and deliver cutting-edge machine learning experiences on iOS devices. Download the app now and unlock the full potential of TFLite Debugger on iOS!