Yesterday, at Google I/O, Google announced that they are partnering with Arm to develop TensorFlow Lite Micro and that uTensor – an inference library based on Arm Mbed and TensorFlow –  is becoming part of this new project. (See the Mbed b…

Overview

This blog is for embedded software developers who want to apply Machine Learning (ML) on Arm Cortex-M. We will show you how to deploy a trained Neural Network (NN) model (using Caffe as an example) on those constrained platforms with the Arm…

What would you do with a Cortex-M4, a motor or two, some lego and a few cable ties? Well, if you’re Sebastian Förster, an embedded systems developer based in Germany, the answer is a small, four-legged robot that you’d teach to walk using neural networks…

Neural Networks are becoming increasingly popular in always-on IoT edge devices performing data analytics right at the source, reducing latency as well as energy consumption for data communication. CMSIS-NN is a collection of efficient neural network…

It IS possible to optimize neural network architectures to fit within the memory and compute constraints of microcontrollers – without sacrificing accuracy. We explain how, and explore the potential of depthwise separable convolutional neural networks…