This webinar is targeted at machine learning enthusiasts and researchers and covers applying deep learning techniques on classifying images and building language models, including convolutional and recurrent neural networks. The session is driven in Torch: a scientific computing platform that has great toolboxes for deep learning and optimization among others, and fast CUDA backends with multi-GPU support.

Torch is supported by Facebook, Google, Twitter and a strong community who actively open-source their code and packages.

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Webinar Date: Thursday, October 8, 2015

Webinar Time: 9:00am - 10:00am (Pacific)

Applied Deep Learning for Vision and Natural Language with Torch7

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Presenter:

Nicholas Léonard, Research Engineer, Element Inc.

Presenter Bio:

Nicholas graduated from the Royal Military College of Canada in 2008 with a bachelor's degree in Computer Science. Nicholas Retired from the Canadian Army Officer Corp in 2012 to complete a Master's degree in Deep Learning at the University of Montreal. He currently applies deep learning to biometric authentication using smart phones.

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