Mlf-core: a framework for deterministic machine learning

HIGHLIGHTS

• who: Bioinformatics et al. from the Quantitative Biology Center (QBiC), Eberhard Karls University of Tuu0308bingen, Tuu0308bingen, Germany have published the Article: mlf-core: a framework for deterministic machine learning, in the Journal: (JOURNAL)
• what: Using an autoencoder model built with TensorFlow, the authors demonstrate how nondeterministic model training and inference can strongly influence the outcome of algorithms commonly used to analyze single-cell RNA-sequencing (scRNA-seq) data. To evaluate the determinism of this model, the authors compared the loss values (log loss) among different runs with deterministic settings as provided by mlf-core, to . . .
  

   

  

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