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SkillsCast

Deep Learning Made Easy With Reusable Deep Features

31st May 2016 in London at CodeNode

This SkillsCast was filmed at Deep Learning Made Easy With Reusable Deep Features

Deep learning is a promising machine learning technique with a high barrier to entry. In this talk, we provide an easy entry into this field via "deep features" from pre-trained models. These features can be trained on one data set for one task and used to obtain good predictions on a different task, on a different data set. We demonstrate our technique using our open source based GraphLab Create framework.

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Deep Learning Made Easy With Reusable Deep Features

Danny Bickson

Danny Bickson is VP EMEA and Co-Founder at Dato. Previously he was a research scientist at Carnegie Mellon University and one of the creators of GraphLab open source project. Danny has a PhD in distributed algorithms from the Hebrew University.

SkillsCast

Deep learning is a promising machine learning technique with a high barrier to entry. In this talk, we provide an easy entry into this field via "deep features" from pre-trained models. These features can be trained on one data set for one task and used to obtain good predictions on a different task, on a different data set. We demonstrate our technique using our open source based GraphLab Create framework.

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Thanks to our sponsors

About the Speaker

Deep Learning Made Easy With Reusable Deep Features

Danny Bickson

Danny Bickson is VP EMEA and Co-Founder at Dato. Previously he was a research scientist at Carnegie Mellon University and one of the creators of GraphLab open source project. Danny has a PhD in distributed algorithms from the Hebrew University.