Computational cost refers to the amount of computational resources required to perform a specific algorithm or operation, typically measured in terms of time complexity and space complexity. Understanding computational cost is crucial for evaluating the efficiency and scalability of optimization methods and automated systems, as it influences how quickly and effectively a model can be trained or searched. Lowering computational cost while maintaining performance is a key goal in deep learning research.
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