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GTC ON-DEMAND

AI & Deep Learning Research
Presentation
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Training Deep AutoEncoders for Collaborative Filtering
Abstract:
This session will describe an approach to building personalized recommendations using (very) deep autoencoders. We will explore effects of different activation functions, network depth and novel algorithmic approaches. The model is trained end-to-end without any layer-wise pre-training and our PyTorch-based code is publicly available.
 
Topics:
AI & Deep Learning Research, Consumer Engagement & Personalization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8212
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