Talk by Laurier alumnus and data scientist to offer insight on deep learning algorithms and artificial …

Dec. 16, 2016For Immediate Release WATERLOO – Wilfrid Laurier University alumnus Jon Krohn (B.Sc. ’07), the chief data scientist at untapt, will speak at Laurier about how individuals can build their own deep learning algorithms. His talk, “Deep Learning with Artificial Neural Networks,” will take place Jan. 4, 2017, at 4 p.m. in Bricker Academic BA101 on Laurier’s Waterloo campus. Krohn will use biological neurons and the primate visual system as analogies to describe how layers of artificial neurons facilitate deep learning. His talk will empower audience members to build their own deep learning algorithms and will survey contemporary applications for the algorithms. The subject of deep learning algorithms is particularly relevant given their role in, for example, Tesla’s self-driving sedans, Facebook’s newsfeed, Apple’s voice recognition, and Google inbox’s suggested replies. Krohn…


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