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This commentary covers some pitfalls of deep learning in biology and calls for better benchmarking
Machine learning is a branch of artificial intelligence (AI) involving computer programs that are able to improve their own performance through experience (training). The diverse applications of new ‘deep learning’ approaches with neural networks are now expanding into the field of biology. But these applications to biological data require more scrutiny and caution to increase the standards of publishing and allow the AI revolution in biology to take off.
This commentary covers some pitfalls of deep learning in biology and calls for better benchmarking
https://doi.org/10.1038/s41580-019-0176-5
ReadCube: https://rdcu.be/bR8No
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