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41:29
AI, ML & Data Engineering Follow 816 Followers

Neural Networks across Space and Time

Posted by Dave Snowdon  on  Jun 29, 2018 Posted by Dave Snowdon Follow 0 Followers  on  Jun 29, 2018

Dave Snowdon starts with a brief introduction to deep neural networks, why they are important and how they work. He covers 2 of the most important deep neural architectures: convolutional & recurrent.

46:41
AI, ML & Data Engineering Follow 816 Followers

Understanding ML/DL Models using Interactive Visualization Techniques

Posted by Chakri Cherukuri  on  Jun 06, 2018 Posted by Chakri Cherukuri Follow 1 Followers  on  Jun 06, 2018

Chakri Cherukuri discusses how to use visualization techniques to better understand machine learning and deep learning models.

38:37
AI, ML & Data Engineering Follow 816 Followers

Interpretable Machine Learning Products

Posted by Mike Lee Williams  on  Jun 06, 2018 Posted by Mike Lee Williams Follow 0 Followers  on  Jun 06, 2018

Mike Lee Williams discusses how interpretability can make deep neural networks models easier to understand, and describes LIME, an OS tool that can be used to explore what ML classifiers are doing.

42:26
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Deep Learning for Science

Posted by Prabhat  on  May 30, 2018 Posted by Prabhat Follow 0 Followers  on  May 30, 2018

Prabhat discusses machine learning's impact on climatology, astronomy, cosmology, neuroscience, genomics, and high-energy physics, and the future of AI in powering scientific discoveries.

45:17
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AI & Security: Lessons and Challenges

Posted by Dawn Song  on  Apr 24, 2018 Posted by Dawn Song Follow 0 Followers  on  Apr 24, 2018

Dawn Song presents results in the area of secure deep learning and how DL systems could be fooled and what can be done, how AI and DL can enable better security, and how security can enable better AI.

37:04
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Rethinking Deep Learning: Neural Compute Stick

Posted by Darren Crews  on  Mar 13, 2018 Posted by Darren Crews Follow 0 Followers  on  Mar 13, 2018

Darren Crews talks about the The Movidius Neural Compute Stick (NCS) - a tiny fanless deep learning device that one can use to learn AI programming at the edge.

38:13
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The Joy of Stochastic Gradient Descent

Posted by Carin Meier  on  Dec 01, 2017 Posted by Carin Meier Follow 1 Followers  on  Dec 01, 2017

Carin Meier takes a look at the joys of Deep Learning, discussing how Deep Learning is changing how people approach programming, communicate with each other, and even what it means to be human.

50:42
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Deep Learning @Google Scale: Smart Reply in Inbox

Posted by Anjuli Kannan  on  Oct 03, 2017 3 Posted by Anjuli Kannan Follow 0 Followers  on  Oct 03, 2017 3

Anjuli Kannan describes the algorithmic, scaling, deployment considerations involved in a an application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox

51:32
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Semi-Supervised Deep Learning on Large Scale Climate Models

Posted by Prabhat  on  Sep 27, 2017 Posted by Prabhat Follow 0 Followers  on  Sep 27, 2017

Prabhat presents NERSc’s results in applying Deep Learning for supervised and semi-supervised learning of extreme weather patterns, scaling Deep Learning to 9000 KNL nodes on a supercomputer.

38:41
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Deep Learning for Image Understanding at Scale

Posted by Stacey Svetlichnaya  on  Jul 05, 2017 Posted by Stacey Svetlichnaya Follow 0 Followers  on  Jul 05, 2017

Stacey Svetlichnaya discusses strategies and challenges building deep learning systems for object recognition at scale, using automatic labels in Flickr image search as a case study.

25:52
AI, ML & Data Engineering Follow 816 Followers

Comparing Deep Learning Frameworks

Posted by Jeffrey Shomaker  on  May 28, 2017 1 Posted by Jeffrey Shomaker Follow 0 Followers  on  May 28, 2017 1

Jeffrey Shomaker covers the different types of deep learning frameworks and then focuses on neural networks, including business uses and 4 of the main systems (eg. Tensor Flow) that are open sourced.

39:06
AI, ML & Data Engineering Follow 816 Followers

Deep Learning Applications in Business

Posted by Diego Klabjan  on  May 07, 2017 Posted by Diego Klabjan Follow 0 Followers  on  May 07, 2017

Diego Klabjan discusses models, implementations, and challenges developing applications for trading, forecasting, and healthcare, detailing relevant models and issues adopting and deploying them.

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