Deep Neural Networks Implementation on IoT Devices: A Practical Guide

Deep neural network-powered Internet of Things (IoT) devices are anticipated to revolutionise a range of industrial applications, propelled by the recent expansion of both IoT and DNN fields. On the other hand, DNNs process the data produced by IoT devices using a variety of parameters and processes. High energy consumption and latency in data processing are the outcomes of this. In order to address these problems and integrate real-time DNNs into IoT devices with constrained resources, new strategies are being investigated.