A Hardware Accelerator for the Inference of a Convolutional Neural network

A Hardware Accelerator for the Inference of a Convolutional Neural network

Convolutional Neural Networks (CNNs) are becoming increasingly popular in deep learning applications, e.g. image classification, speech recognition, medicine, to name a few. However, the CNN inference is computationally intensive and demanding a large among of memory resources. In this work is prop...

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Bibliographic Details
Main Authors: Edwin González, Walter D. Villamizar Luna, Carlos Augusto Fajardo Ariza
Format: Article
Language:English
Published: Editorial Neogranadina 2019-11-01
Series:Ciencia e Ingeniería Neogranadina
Subjects:
CNN
FPGA
Hardware accelerator
MNIST
Zynq
Online Access:https://revistasunimilitareduco.biteca.online/index.php/rcin/article/view/4194
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