How to Know if a Neural Network is Right for Your Machine Learning Initiative

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by Frank Fineis | November 25, 2020 3:02 pm

Deep learning models (aka neural nets) now power everything from self-driving cars to video recommendations on a YouTube feed, having grown very popular over the last couple of years. Despite their popularity, the technology is known to have some drawbacks, such as the deep learning “reproducibility crisis”— as it is very common for researchers at one to be unable to recreate a set of results published by another, even on the same data set.

Read the rest of Frank’s post at KDnuggets.

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