Unverified50% confidenceFactExact time
End-to-end learning refers to having a neural network directly map from raw sensor inputs to motor control commands, bypassing independent modules such as perception, planning, and control.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
Unverified闭环优化是神经科学中的实验范式,系统能实时根据大脑反馈信号动态调整刺激参数,形成刺激→神经响应→参数调整→新刺激的迭代回路72% similarUnverifiedAnthropic's mechanistic interpretability team is dedicated to reverse-engineering the internal computational processes of neural networks and identifying the circuit structures activated when models perform tasks69% similarUnverified神经元轮盘赌利用mlp_hooks在模型的多层感知机(MLP)层上挂载钩子函数,用来捕获神经元的激活值66% similarUnverifiedThe most basic neural network consists of three parts: an input layer, a hidden layer, and an output layer.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/829143API
curl https://kongchang.com/api/v1/knowledge/claims/829143MCP
get_claim(id=829143)