Essays about: "Tensorflow Lite"
Showing result 6 - 10 of 11 essays containing the words Tensorflow Lite.
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6. Application of TensorFlow lite on embedded devices : A hands-on practice of TensorFlow model conversion to TensorFlow Lite model and its deployment on Smartphone to compare model’s performance
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Rapporten beskriver processutvecklingen av integration inom smart-enheter och gör jämförelse med de traditionella datormodeller som exempelvis TensorFlow. Maskininlärning är ett område som för närvarande observeras av många människor på grund av dess anmärkningsvärda önskan inom olika intelligenta områden som datorseende, naturlig språkbehandling, föreslagna datorsystem, etcetera. READ MORE
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7. Real-time Audio Classification onan Edge Device : Using YAMNet and TensorFlow Lite
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)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
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8. Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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
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9. Analysis of different face detection andrecognition models for Android
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : 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
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10. Memory Efficient Semantic Segmentation for Embedded Systems
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : Convolutional neural networks (CNNs) have made rapid progress in the last years and in fields, such as computer vision, they are considered state-of-the-art. However, CNNs are very computationally intensive. This makes them challenging to use in embedded devices such as smartphones, security cameras and cars. READ MORE