In deep learning, uncertainty arises significantly from the training procedure, which often involves stochastic optimization, random initializations, and data shuffling, potentially injecting noise and biases into the final model, as cited in reference [58].

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (1)

• deep learning concept