1.1 Deep Learning Hardware: Past, Present, and Future | IEEE Conference Publication | IEEE Xplore

1.1 Deep Learning Hardware: Past, Present, and Future


Abstract:

Historically, progress in neural networks and deep learning research has been greatly influenced by the available hardware and software tools. This paper identifies trend...Show More

Abstract:

Historically, progress in neural networks and deep learning research has been greatly influenced by the available hardware and software tools. This paper identifies trends in deep learning research that will influence hardware architectures and software platforms of the future.
Date of Conference: 17-21 February 2019
Date Added to IEEE Xplore: 07 March 2019
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Conference Location: San Francisco, CA, USA

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