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Variance Between Runs of Neural Network Training Is Harmless and Inevitable by caprock

[Submitted on 4 Apr 2023] Download PDF Abstract: Typical neural network trainings have substantial variance in test-set performance between repeated runs, impeding hyperparameter comparison and training reproducibility. We present the following results towards understanding this variation. (1) Despite having significant variance on their test-sets, we demonstrate t

ByHackTechApril 14, 20230Comments

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Synchronize Data Between Memgraph Graph Database and Elasticsearch by andi8647

Almost every company today has some kind of database as a single source of truth. Graph databases proved to be useful in almost every industry you know about. They excel in the modeling process since the graph model can naturally map business scenarios that involve interconnected data. Elasticsearch is a flexible, text-processing tool that is

ByHackTechFebruary 6, 20230Comments

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