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  1. 1. FPGA Hardware Acceleration of Inception Style Parameter Reduced Convolution Neural Networks

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Kalle Ngo; [2016]
    Nyckelord :;

    Sammanfattning : Some researchers have noted that the growth rate in the number of network parameters of many recently proposed state-of-the-art CNN topologies is placing unrealistic demands on hardware resources and limits the practical applications of Neural Networks. This is particularly apparent when considering many of the projected applications (IoT, autonomous vehicles, etc) utilize embedded systems with even greater restrictions on computation and memory bandwidth than the typical research-class computer cluster that the CNN was designed on. LÄS MER