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Training Deep Networks as Random Effects: An Optimization–Inference Duality episode artwork

EPISODE · Jun 4, 2026 · 21 MIN

Training Deep Networks as Random Effects: An Optimization–Inference Duality

from Embodied AI 101 · host Shaoqing Tan

Explores training dynamics of deep neural networks through a statistical lens, examining the duality between optimization and inference perspectives.

Episode metadata supplied by the publisher feed · Published Jun 4, 2026

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Training Deep Networks as Random Effects: An Optimization–Inference Duality

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