Sökning: "Deep Learning Accelerators"

Hittade 3 uppsatser innehållade orden Deep Learning Accelerators.

  1. 1. Implementation of a Deep Learning Inference Accelerator on the FPGA.

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Shenbagaraman Ramakrishnan; [2020]
    Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER

  2. 2. Accelerating CNN on FPGA : An Implementation of MobileNet on FPGA

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yulan Shen; [2019]
    Nyckelord :CNN; FPGA acceleration; Deep Learning; MobileNet; Image classification; Computer vision;

    Sammanfattning : Convolutional Neural Network is a deep learning algorithm that brings revolutionary impact on computer vision area. One of its applications is image classification. However, problem exists in this algorithm that it involves huge number of operations and parameters, which limits its possibility in time and resource restricted embedded applications. LÄS MER

  3. 3. An Evaluation of TensorFlow as a Programming Framework for HPC Applications

    Master-uppsats, KTH/Beräkningsvetenskap och beräkningsteknik (CST)KTH/Parallelldatorcentrum, PDC

    Författare :Wei Der Chien; [2018]
    Nyckelord :HPC; GPU; TensorFlow;

    Sammanfattning : In recent years, deep-learning, a branch of machine learning gained increasing popularity due to their extensive applications and performance. At the core of these application is dense matrix-matrix multiplication. Graphics Processing Units (GPUs) are commonly used in the training process due to their massively parallel computation capabilities. LÄS MER