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3min chapter
Probabilistic Numeric CNNs with Roberto Bondesan - #482
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Problistic Numerical Programming for Deep Learning
In this paper, we devise a newer network on continuous functions. So typically, your cann will acton bactor rites, on some array of numbers. Here our paristing mecasionen is defined directly in the continuu. And that turns out to be quite powerful, and also unlocks new models and new mechanism for learning.
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