Unverified60% confidenceFactExact time
Backpropagation was formally popularized by Rumelhart, Hinton, and others in 1986; its essence is using the chain rule to propagate the error from the output layer backward through each layer.
2
Sources
60%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
An Efficient Learning Guide for Data Science: Study Partnerships and Hands-On ML in Practice
redditr/learnmachinelearning7/11/2026
Related Claims
VerifiedIn 1986, Rumelhart and colleagues re-popularized the backpropagation algorithm.80% similarVerifiedThe backpropagation algorithm was systematized by Rumelhart, Hinton, and others in a paper published in Nature in 1986.78% similarVerifiedThe backpropagation algorithm was formally popularized by Rumelhart, Hinton, and others in 1986; its theoretical form had already been derived by Seppo Linnainmaa as early as 1970, and Werbos had applied it to neural networks in his 1974 doctoral dissertation.74% similarUnverified反向传播由Geoffrey Hinton等人在1986年系统化提出，其核心是链式法则的工程实现69% similarUnverifiedThe concept of backpropagation was not first proposed by Rumelhart et al.; Linnainmaa and others had arrived at similar derivations earlier.63% similar
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