Essays about: "Tensorflow Lite"

Showing result 1 - 5 of 7 essays containing the words Tensorflow Lite.

  1. 1. Evaluating The Performance of Machine Learning on Different Devices

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Robar Zangana; [2022]
    Keywords : IoT; Machine Learning; Tensorflow; Image classification; IoT; Maskininlärning; Tensorflow; Bildklassificering;

    Abstract : IoT-enheter blir allt populärare i takt med att de blir kraftfullare och skalbara. Därför var det viktigt att undersöka prestandan hos IoT-enheter när det kommer till maskininlärning. READ MORE

  2. 2. Evaluating the Performance of Machine Learning on Weak IoT devices

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Ahmad Alhalbi; [2022]
    Keywords : TinyML; Microcontrollers; Tersorflow; IoT; Maskininlärning ML ; TinyML; Mikrocontrollers; Tersorflow; IoT; Maskininlärning ML ;

    Abstract : TinyML är ett snabb växande tvärvetenskapligt område i maskininlärning. Den fokuserar på att möjliggöra maskininlärnings algoritmer på inbyggda enheter (mikrokontroller) som arbetar vid lågt effektområde. Syftet med denna studie är att analysera hur bra TinyML kan är lösa typiska ML-uppgifter. READ MORE

  3. 3. Real-time Audio Classification onan Edge Device : Using YAMNet and TensorFlow Lite

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Christoffer Malmberg; [2021]
    Keywords : Audio Event classification; edge device audio classification; YAMNet; TensorFlow Lite comparison;

    Abstract : Edge computing is the idea of moving computations away from the cloud andinstead perform them at the edge of the network. The benefits of edge computing arereduced latency, increased integrity, and less strain on networks. Edge AI is the practiceof deploying machine learning algorithms to perform computations on the edge. READ MORE

  4. 4. Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Joel Åhlund; David Cordesius; [2021]
    Keywords : Dynamic control; NPU; MTCNN; Machine learning; Neural networks; Technology and Engineering;

    Abstract : In this thesis, dynamically controlled machine learning algorithms running on state of the art Arm microNPUs, with an attached Cortex-M CPU, were investigated. The machine learning framework used was Tensorflow and different subsets of it, such as Tensorflow Lite micro. READ MORE

  5. 5. Analysis of different face detection andrecognition models for Android

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Salinda Hettiarachchi; [2021]
    Keywords : Machine learning; Deep learning; Face Detection; Face Recognition; FaceNet; MobileFaceNet; Android; Tensorflow Lite; On device AI;

    Abstract : Human key point tracking such as face detection and recognition has become an increasingly popular research topic. It is a platform independent functionality and already being implemented on a wide range of platforms. Android is one such platform that runs on mobile phones and top of many edge devices such as car devices and smart home appliances. READ MORE