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1. 1. Optimizing Convolutional Neural Networks for Inference on Embedded Systems

   University essay from Uppsala universitet/Signaler och system

   Author : Lucas Strömberg; [2021]
   Keywords : Machine Learning; Embedded Systems; Computer Science; CNN; Quantization; Pruning;

   Abstract : Convolutional neural networks (CNN) are state of the art machine learning models used for various computer vision problems, such as image recognition. As these networks normally need a vast amount of parameters they can be computationally expensive, which complicates deployment on embedded hardware, especially if there are contraints on for instance latency, memory or power consumption. READ MORE