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Points of Significance

Neural networks primer

Nature Methods volume 20, pages 165–167 (2023)Cite this article

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Fig. 1: Composition of functions enables nonlinear predictions.
Fig. 2: Computation graphs for basic neural networks.
Fig. 3: Visualization of neurons as pattern recognizers.

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Author information

Authors and Affiliations

  1. Department of Biomedical Data Science, Stanford University, Stanford, CA, USA

    Alexander Derry

  2. Canada’s Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada

    Martin Krzywinski

  3. Department of Statistics, The Pennsylvania State University, State College, PA, USA

    Naomi Altman

Authors
  1. Alexander Derry
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  2. Martin Krzywinski
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  3. Naomi Altman
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Correspondence to Martin Krzywinski.

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The authors declare no competing interests.

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Derry, A., Krzywinski, M. & Altman, N. Neural networks primer. Nat Methods 20, 165–167 (2023). https://doi.org/10.1038/s41592-022-01747-1

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