Android ML Early Access Program Self Nomination: TensorFlow Lite for Android
For early access to TensorFlow Lite for Android API updates, please answer the following questions. Our team will review self-nominations and respond on a rolling basis.
- Terms of Service
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What is your name?
What is your company or organisation's name?
Short company description (mission statement, type of apps or products you develop)
Do you have an app in the Play Store?
If yes, please provide a link to the app
Do you use any of the following features in TensorFlow Lite today?
Hardware acceleration (NNAPI, GPU, HVX)
Which API do you use to call TFLite in your app?
TensorFlow Lite Tasks Library (Java)
TensorFlow Lite Tasks Library (C++)
Turnaround time: if selected, would you be able to assign someone to work on the API within a week?
Send me a copy of my responses.
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