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Backpropagation
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Backpropagation
Sifting through hundreds of thousands of hours of indexed videos
Backpropagation
Arcmira media summary
Explore podcasts, interviews & explainers on Backpropagation — 12 indexed from Stanford Online & The Royal Institution, updated Apr 2026.
Discussion of propagating partial derivatives and computing weight gradients in a computation graph.
The central algorithm discussed for computing gradients in neural networks using computation graphs.
The whole idea of representation learning or the new terms problem or metalarning uh is often used for for this idea and this is what back prop was supposed to solve
many different people invented an algorithm called back propagation. RL Harton Williams and I were the first to show that back propagation could learn very interesting representations of the meanings of words.
algorithm for training neural networks
Arcmira tracks 12 indexed media appearances or mentions for Backpropagation, tied to source videos, channels, and transcript-derived context.
Arcmira uses indexed YouTube videos and transcripts. Representative source evidence on this page includes "Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 8: Parallelism" with transcript-derived context and links when available.
Backpropagation is connected to AI, Google, PyTorch in Arcmira's media graph.
12
Mentions
1.3M
Views
The trendline is visible, but the dated evidence behind Backpropagation is in the premium layer.
“Discussion of propagating partial derivatives and computing weight gradients in a computation graph.”
“The central algorithm discussed for computing gradients in neural networks using computation graphs.”
“The whole idea of representation learning or the new terms problem or metalarning uh is often used for for this idea and this is what back prop was supposed to solve”
“many different people invented an algorithm called back propagation. RL Harton Williams and I were the first to show that back propagation could learn very interesting representations of the meanings...”
“algorithm for training neural networks”