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Columbia U’s Infinitely Deep Probabilistic Model Adapts Its Complexity to the Data at Hand
Sept. 26, 2022, 11:17 p.m. | Synced
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While today’s deep neural networks (DNNs) are driving AI’s deep-learning revolution, determining a DNN’s appropriate complexity remains challenging. If aContinue Reading
The post Columbia U’s Infinitely Deep Probabilistic Model Adapts Its Complexity to the Data at Hand first appeared on Synced.
ai artificial intelligence complexity data deep-neural-networks machine learning machine learning & data science ml popular research technology variational-inference
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