Verified65% confidenceFactExact time
The 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.
3
Sources
65%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
An Efficient Learning Guide for Data Science: Study Partnerships and Hands-On ML in Practice
redditr/learnmachinelearning7/11/2026
Related Claims
VerifiedThe backpropagation algorithm was systematized by Rumelhart, Hinton, and others in a paper published in Nature in 1986.82% similarUnverifiedEarly work on reverse-mode automatic differentiation can be traced back to Linnainmaa (1970), and Paul Werbos applied it to multilayer networks in 1982.75% similarUnverifiedBackpropagation 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.74% similarVerifiedIn 1986, Rumelhart and colleagues re-popularized the backpropagation algorithm.73% similarUnverified反向传播在1986年由Rumelhart、Hinton和Williams在Nature发表的论文中广为人知，其数学基础可追溯到1960年代Bryson和Ho的工作以及1970年代Werbos的博士论文73% similar
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