Unverified50% confidenceFactExact time
Operator learning (such as DeepONet and Fourier Neural Operator) models directly in function space.
1
Sources
50%
Confidence
Long-term
Relevance
8/15/2026
First Seen
Sources
从看懂论文到独立创新:ML研究者数学能力进阶指南
Related Claims
Unverified大模型底层的数学结构是深度神经网络,本质上是无数个简单函数层层嵌套形成的复合函数72% similarUnverifiedAn operator is the most basic computational unit in deep learning frameworks, encompassing matrix multiplication, convolution operations, and activation functions.72% similarUnverifiedThe neuron in modern deep learning is a mathematical abstraction that is far removed from how the biological brain works and should not be analogized to biological neurons.71% similarUnverified在深度学习中,雅可比矩阵的计算是反向传播算法的数学基础,描述梯度如何在网络层间流动71% similarUnverifiedModern deep learning frameworks PyTorch and TensorFlow represent neural networks as computational graphs and compute gradients in reverse via automatic differentiation (Autograd).71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/750197API
curl https://kongchang.com/api/v1/knowledge/claims/750197MCP
get_claim(id=750197)