Q n A with Drs Tarry Singh
summary
DeepKapha frames its work as improving deep learning research into deployable systems, claiming prototype frameworks that are automated and flexible and that combine vision, audio and text models for industry use. Recommends TensorFlow, PyTorch, Chainer and MatConvNet and languages Python plus C++ for device deployment; reports mentoring partnerships and an MoU tied to seed funding (~$4M) for multiple startups in precision farming, wind and marine domains, and a full-day workshop that adapted live to a mixed academic and industry audience.
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chapters (6)
- 0:00Introduction
- 0:40How did you find the audience
- 1:27Can you tell us about some of the areas you think are exciting
- 3:02Can we apply these algorithms and technologies into different industry domains
- 4:59What are some of the tools you recommend
- 6:19How have you found ODSC India
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