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Deep Learning Challenges from a Kaggle Competition

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Published on May 25, 2017

Vladimir Iglovikov, Kaggle Master, talks about a Deep Learning approach to the "Dstl Satellite Imagery Feature Detection" competition, challenges and problems that he faced, and how his team finished 3rd out of 419.

Vladimir Iglovikov is a Senior Data Scientist at TrueAccord with a PhD in Theoretical Condensed Matter Physics, Masters in Theoretical High Energy Physics and a Kaggle Master.

*Please note this was a live meetup recorded in an acoustically challenging room.

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