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What is Evaluating Neural Network Reliability about?

1. Assessing the reliability of neural networks is complex as failure occurs in a continuous manner rather than as discrete events. A continuous measure is needed to evaluate reliability. 2. Factors like the environment, design, and quality control influence reliability, but this discussion focuses on inherent fault tolerance of abstract neural network models. 3. Failure in neural networks is difficult to define as they provide soft rather than precise outputs. Reliability measures must use external info

Author
sabekaismaeel
Language
EN

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