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

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