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GTC ON-DEMAND

Accelerated Data Science
Presentation
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Visualizing and Interrogating Black box AI Models with GPU Enabled Architecture
Abstract:

In the world of analytics and AI for many, GPU-accelerated analytics is equivalent to speeding up training time. The question, however, remains is how one interprets such highly complex black box models? How these models can help decision-making? Well discuss and present here a GPU based architecture to not only accelerate training the models but also use the GPU based databases and visual analytics to render billions of rows to solve the challenges of interpreting these black box models. With the advent of algorithms, databases and visualization tools, all based on a GPU architecture a solution like this has become more accessible. Interactive visualization of the model, based on partial dependence analysis, is one approach to interpret these opaque models and is our focus here.

 
Topics:
Accelerated Data Science, Algorithms & Numerical Techniques
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23244
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