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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Editorial Neogranadina
2019-11-01
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| Schriftenreihe: | Ciencia e Ingeniería Neogranadina |
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| Online-Zugang: | https://revistasunimilitareduco.biteca.online/index.php/rcin/article/view/4194 |
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