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  2. Volume 7, Issue 4
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Online ISSN: 2515-8260

Volume7, Issue4

Fast Convolution units for Convolutional Neural Network

    M.V.Nageswara Rao A. Sudhakar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2872-2877

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Abstract

Convolution neural network is basically an algorithm which is used to train a model to perform a specific task, which is inspired by the working of the human brain. Nowadays, its being extensively used in various applications. Its implementation over the FPGA board not only reduces the development time, but also increases the programmability. In this paper, Fast Convolution unit is described, which are based on parallel fast finite impulse response algorithm (FFA). This paper also includes the derivation of the algorithm.
Keywords:
    Convolution neural networks Rectified Linear Unit Parallel fast finite impulse response algorithm Polling Layers Fully connected layers DCCN FPGA
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(2020). Fast Convolution units for Convolutional Neural Network. European Journal of Molecular & Clinical Medicine, 7(4), 2872-2877.
M.V.Nageswara Rao; A. Sudhakar. "Fast Convolution units for Convolutional Neural Network". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 2872-2877.
(2020). 'Fast Convolution units for Convolutional Neural Network', European Journal of Molecular & Clinical Medicine, 7(4), pp. 2872-2877.
Fast Convolution units for Convolutional Neural Network. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 2872-2877.
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