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SkillsCast

White-box Deep Learning Ensembles - Advanced

6th July 2017 in London at CodeNode

There are 42 other SkillsCasts available from Infiniteconf 2017 - the conference on Big Data and Fast Data

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Ensemble methods are a great way to improve the accuracy of deep learning models. However, current ensemble methods all treat the underlying base learner as a "black box".

Join Alan as he illustrates a new type of ensemble method which makes use of information about how the deep learning algorithm is structured, in order to improve training times, diversity generation, and ultimately accuracy.

Alan will also give examples of existing methods from his research at Birkbeck, and provide experimental results.

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White-box Deep Learning Ensembles - Advanced

Alan Mosca

Alan Mosca is a part-time research student at Birkbeck, University of London. He also holds a full time position as Senior Data Engineer at Sendence. His research focus is on Deep Learning Ensembles and improvements to optimisation algorithms in Deep Learning. He was previously at Wadhwani Asset Management, Jane Street Capital, and several software companies.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

Ensemble methods are a great way to improve the accuracy of deep learning models. However, current ensemble methods all treat the underlying base learner as a "black box".

Join Alan as he illustrates a new type of ensemble method which makes use of information about how the deep learning algorithm is structured, in order to improve training times, diversity generation, and ultimately accuracy.

Alan will also give examples of existing methods from his research at Birkbeck, and provide experimental results.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

White-box Deep Learning Ensembles - Advanced

Alan Mosca

Alan Mosca is a part-time research student at Birkbeck, University of London. He also holds a full time position as Senior Data Engineer at Sendence. His research focus is on Deep Learning Ensembles and improvements to optimisation algorithms in Deep Learning. He was previously at Wadhwani Asset Management, Jane Street Capital, and several software companies.