SPOC: MODEL METRICS AND INFERENCE SCALABILITY

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 Mop Head of the co

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Neurological deterioration after posterior fossa decompression for adult syringomyelia: Proposal for a summarized treatment algorithm

BackgroundPatients with syringomyelia who present with new neurological symptoms after posterior fossa decompression (PFD) are not uncommon.However, systematic reports on different CLEANSE SMART pathologies are few in the literature.ObjectiveThe purpose of this study was to summarize our experience for failed PFD.MethodsBetween January 2015 and Dec

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