DeepMind’s Epistemic Neural Networks Open New Avenues for Uncertainty Modelling in Large and Complex DL Systems | Synced
A research team from DeepMind presents epistemic neural networks (ENNs) as an interface for uncertainty modelling in deep learning, and proposes the KL divergence from a target distribution as a pr...
Source: Synced | AI Technology & Industry Review
A research team from DeepMind presents epistemic neural networks (ENNs) as an interface for uncertainty modelling in deep learning, and proposes the KL divergence from a target distribution as a precise metric to evaluate ENNs.