This talk describes how open source has affected modern AI development, introduces popular AI frameworks with their impacts to the community, and shows the lablup.AI platform architecture to compose and facilitate existing open source AI frameworks.
Deep Learning with TensorFlow", Jeff Dean § [bduck15-oss] 2015 Future of Open Source Survey Results, Black Duck Software https://www.slideshare.net/blackducksoftware/2015-future-of-open-source-survey-results § [w3tech15-serveros] Usage of operating systems for websites https://w3techs.com/technologies/overview/operating_system/all § [techfae-linux] Linux is Running on Almost all of the Supercomputers https://www.techfae.com/linux-running-almost-supercomputers/ § [aaai17-stokui] AAAI 2017 Tutorial: Deep Learning Implementations and Frameworks (DLIF), Seiya Tokui et al. https://www.dropbox.com/s/qfz34ba3ftuli6b/AAAI2017-2-0203.pdf § [arxiv17-bench] Benchmarking State-of-the-Art Deep Learning Software Tools https://arxiv.org/pdf/1608.07249v7.pdf § https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software All product names, trademarks, and logos in this presentation are property of their respective owners. Use of these names, logos, and brands does not imply endorsement.