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Adding on-device recommendations to your app using TensorFlow latest tool available on internet, it's working and have a lot of built in safety tools. This program will do the job as you expect.
List of the platforms supported:
* Windows OS
* MAC OS
* Android (only latest versions)
* iOS (only latest versions)
To get a right file for your OS, press download button and our system will detect automatically what device you’re using.
Adding on-device recommendations to your app using TensorFlow details:
- Daily database update
- VPN supported
- Windows, Mac OS and latest mobile platforms are supported.
- We provide free support (Contact us Section)
- Weekly code updates.
* All program instructions and capabilities has been described in notes.txt file which will be provided after installation.
Other Notes
As a developer, ML can help you build better apps. In this session, we guide you through simple steps to build and train a TensorFlow model that does on-device recommendations based on content that the user has shown interest in. Learn how to convert the model to TensorFlow Lite to run on mobile and deploy it on Firebase.
Resources:
Codelabs:
Speaker: Ibrahim Ulukaya
Watch more:
Firebase Summit 2020 playlist →
Subscribe to the Firebase channel →
#FirebaseSummit
Adding on-device recommendations to your app using TensorFlow
How to install:
– Download, extract and run .exe file,
(If your antivirus blocking file, pause it or disable it for some time.)
– Choose destination folder
How to Use:
Open destination folder and locate file notes.txt, open it and read step by step.
Enjoy!
Don’t forget to read instructions after installation.
Enjoy Adding on-device recommendations to your app using TensorFlow.
Adding on-device recommendations to your app using TensorFlow Is up to date.
We are not responsible for any illegal actions you do with theses files. Download and use Adding on-device recommendations to your app using TensorFlow on your own responsibility.
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