SOL: Reducing the Maintenance Overhead for Integrating Hardware Support into AI Frameworks
SOL: Reducing the Maintenance Overhead for Integrating Hardware Support into AI Frameworks
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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The increased interest in Artificial Intelligence (AI) raised the need for highly optimized and sophisticated AI frameworks. Starting with the Lua-based Torch many frameworks have emerged over time, such as Theano, Caffe, Chainer, CNTK, MxNet, PyTorch, DL4J, or TensorFlow. All of these provide a high level scripting API that allows users to easily...
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SOL: Reducing the Maintenance Overhead for Integrating Hardware Support into AI Frameworks
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TN_cdi_proquest_journals_2668579753
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2668579753
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2331-8422
