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 of the Magnet Cove

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Motion as a phenotype: the use of live-cell imaging and machine visual screening to characterize transcription-dependent chromosome dynamics

Abstract Background Gene transcriptional activity is well correlated with intra-nuclear position, especially relative to the nuclear periphery, which is a region classically associated with gene silencing.Recently however, actively transcribed genes have Country Shoes also been found localized to the nuclear periphery in the yeast Saccharomyces cer

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