CERAMIC THIN-FILM COMPOSITE MEMBRANES WITH TUNABLE SUBNANOMETER PORES FOR MOLECULAR SIEVING




SPOC: Model Metrics and Inference Scalability

The growth of deep learning has increased the challenge of understanding model performance and scalability.Model metrics are coarse-grained values that help to capture the complexity of the model.In this research, we propose SPOC (size, parameters, operations, and Critical Datapath Length) as a suite of metrics that describe much of the complexity

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