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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.
TensorFlow Lite is available on Android and iOS via a C++ API and a Java wrapper for Android developers. On devices that support it, the library can also take advantage of the Android Neural ...
TensorFlow Lite can run on Raspberry Pi and new Coral Dev boards unveiled a few days ago by Google. Google has also released the TensorFlow 2.0 alpha, TensorFlow.js 1.0 and TensorFlow 0.2 for ...
Google Coral is a line of cheap computing hardware to help hackers build AI-powered gadgetry, making it easier to experiment with edge computing. ... It's also designed to run TensorFlow Lite, ...
TensorFlow.js, as the JavaScript TensorFlow library is called, uses the WebGL API to accelerate computations by way of whatever GPUs are available in the system. It’s also possible to use a ...
Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...
Google is open sourcing its work and plans to release an API later in the year. Last year, Facebook announced Caffe2Go — a version of Caffe designed for the purpose of running deep learning ...
It wraps machine learning concepts with an API that enables developers to train models in Google’s TensorFlow AI framework with only a few lines of code, and to deploy those models for on-device ...
API is, simply put, a set of rules and tools to help build software. Google's new TensorFlow object detection API is designed to make it easier to identify objects using images.
Unlike TensorFlow, PyTorch hasn’t experienced any major ruptures in the core code since the deprecation of the Variable API in version 0.4. (Previously, Variable was required to use autograd ...
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