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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, CNN inference is computationally intensive and demands a large number of memory resources. This work proposes a CNN i...
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| 出版年: | Ciencia e Ingeniería Neogranadina |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Universidad Militar Nueva Granada
2020
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| 主題: | |
| オンライン･アクセス: | https://www.redalyc.org/articulo.oa?id=91164537008 |
| タグ: |
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