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Deep Learning at Scale
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| by Scott Le Grand Follow 0 Followers on Apr 05, 2017 |
40:00

Summary
Scott Le Grand describes his work at NVidia, Amazon and Teza, including the DSSTNE distributed deep learning framework.

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Bio

Scott Le Grand is a senior scientist at Teza Technologies. He spent four years at Amazon where he was the lead author of DSSTNE, the Deep Scalable Sparse Tensor Network. Before that he spent ten years at NVidia, doing work that resulted in 14 GPU-related patents.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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