Conv-RAM: An Energy-efficient SRAM with Embedded Convolution Computation for Low-power CNN based Machine Learning Applications
Convolutional neural networks (CNN) provide state-of-the-art results in a wide variety of machine learning (ML) applications, ranging from image classification to speech recognition. However, they are very computationally intensive and require huge amounts of storage. Recent work strived towards red...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2019
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| Online Access: | https://hdl.handle.net/1721.1/122467 |