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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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書誌詳細
主要な著者: Edwin González, Walter D. Villamizar Luna, Carlos Augusto Fajardo Ariza
フォーマット: Artigo
言語:Inglês
出版事項: Editorial Neogranadina 2019-11-01
シリーズ:Ciencia e Ingeniería Neogranadina
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オンライン・アクセス:https://revistasunimilitareduco.biteca.online/index.php/rcin/article/view/4194
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