Implement Bayesian neural networks for uncertainty quantification in predictions.
Build Bayesian neural networks for uncertainty-aware predictions. Requirements: - Task: [CLASSIFICATION/REGRESSION] - Uncertainty type: [ALEATORIC/EPISTEMIC/BOTH] - Model base: [MLP/CNN/TRANSFORMER] - Framework: [PyTorch/TensorFlow] Bayesian DL components: 1. Bayesian layers: - Weight distributions -…
Premium Prompt
Unlock this prompt — and all 30,000+ expert-crafted prompts — with Pro.
Unlock with Pro