TensorFlow Lite is a lightweight version of Google’s TensorFlow, designed specifically for mobile and embedded devices. It enables on-device machine learning inference with low latency and a ...

TensorFlow Lite architecture. Google ... The phone even has a camera and an IMU built-in, ... I don’t know about the schedule for TensorFlow for Raspberry Pi 3 that Google’s talking about here ...

If you’re interested to know more about TensorFlow Lite, we’ve covered it in the past. Header: MOS6502, CC BY-SA 3.0 . Posted in Artificial Intelligence , Retrocomputing Tagged c64 , commodore ...

TensorFlow Lite, the light-weight solution of open source deep learning framework TensorFlow, supports on-device conversation modeling to plugin the conversational intelligence features into chat appl ...

"Thanks to a collaboration with the Raspberry Pi Foundation, we're now happy to say that the latest 1.9 release of TensorFlow can be installed from pre-built binaries using Python's pip package ...

With TensorFlow Lite, the same models can target mobile phones, IoT devices, and edge computing environments. ... Raspberry Pi, Jetson Nano, EdgeTPU or even an ESP32 microcontroller.

TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry Pi, using Python 2.7, 3.4, or 3.5. Nvidia CUDA GPUs are supported on Linux and MacOS but not required.

TensorFlow Lite 1.0 for lightweight machine learning on mobile and IoT devices made its debut today with a number of improvements and shared a dev roadmap.