Unverified50% confidenceFactExact time
反向传播的本质是多元复合函数链式法则的高效实现
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
Related Claims
UnverifiedThe efficiency of backpropagation comes from reusing intermediate values and error terms stored during the forward pass—the core idea of dynamic programming—allowing gradients for all parameters to be obtained in a single backward pass.69% similarVerifiedThe essence of backpropagation is chain-rule differentiation, where the gradient of the loss function with respect to the parameters of each layer is propagated layer by layer from the output layer to the input layer, on the premise that the loss function must exist and be differentiable.68% similarUnverifiedBackpropagation is essentially a special case of reverse-mode automatic differentiation; for a function with n input parameters and 1 scalar output, all partial derivatives can be computed with just one backward pass.66% similarUnverifiedThe recall layer typically employs a multi-source recall strategy, including collaborative filtering recall, vectorized recall (based on a dual-tower model), and graph recall.65% similarUnverified权重共享使卷积操作等价于对输入信号做互相关运算，并引入平移等变性这一归纳偏置63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/563144API
curl https://kongchang.com/api/v1/knowledge/claims/563144MCP
get_claim(id=563144)