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An operator is the smallest computational unit in a deep learning framework that performs specific mathematical operations, such as matrix multiplication, attention computation, and normalization.
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9/18/2026
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UnverifiedOperator learning (such as DeepONet and Fourier Neural Operator) models directly in function space.73% similarUnverifiedAn operator is the most basic computational unit in deep learning frameworks, encompassing matrix multiplication, convolution operations, and activation functions.73% 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72% similarUnverifiedone-hot向量乘以embedding矩阵本质上就是从矩阵中查出对应那一行，在深度学习框架中通常实现为高效的查表操作70% similarVerifiedDeepMind research has shown that on certain mathematical reasoning tasks, smaller models can surpass models with larger parameter counts by increasing the amount of inference-time computation.69% similar
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