-- WhisPro™ speech recognition software for voice wake words and custom command models now available with open source TensorFlow Lite for Microcontrollers implementing machine learning at the ...

Building and creating Neural Networks is mainly associated with such languages/environments as Python, R, or Matlab. However, there have been some new possibilities in the last few years.

If your neural network was written using Google’s TensorFlow framework then you’ve had the option of using TensorFlow Mobile, but it doesn’t use any of the phone’s accelerated hardware ...

In addition, TensorFlow Lite supports the Android Neural Networks API, Java APIs and C++ APIs. According to Google, developers should look at TensorFlow lite as an evolution of the TensorFlow ...

TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API. TensorFlow Lite models are small enough to run on mobile devices, and can serve the offline use case.

compile ‘org.tensorflow:tensorflow-lite:+’ Next, you need to import your interpreter. This is the code that will actually load the model and let you run it.

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

TensorFlow Lite works by the model being created as a C array which is then parsed and run by an interpreter on the microcontroller. This is a little beyond the capabilities of the mighty 64, ...

MOUNTAIN VIEW, Calif., March 24, 2020 /PRNewswire/ -- CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing t ...