理学 随机梯度下降 释 stochastic gradient descent; SGD 随机梯度下降 依据损失函数的梯度，在一次迭代中对每一个训练实例进行预测，并重复迭代该过程到一定的次数，从而最小化一个函数的过程。在机器学习中，可以利用该方法来最小化训练模型中的误差，即每次迭代时完成一次评估和更新。
人工智能 神经网络 释文 stochastic gradient descent 随机梯度下降法
- Schwarzschild coordinates
- Schwarzschild-Couder Cherenkov telescope
- Schwarzschild crater
- Schwarzschild criterion
- Schwarzschild distribution function
- Schwarzschild field
- Schwarzschild filling factor
- Schwarzschild geometry
- Schwarzschild index
- Schwarzschild lens
- Schwarzschild metric
- Schwarzschild-Milne equation
- Schwarzschild model
- Schwarzschild radius
- Schwarzschild singularity
- Schwarzschild solution
- Schwarzschild sphere
- Schwarzschild telescope
- Schwarzschild time
- Schwarzschild vacuum
- Schwarzschild velocity ellipsoid
- Schwarz surface
- Schwarz symmetric derivative
- Schwarz symmetrization
- Schwarz symmetry principle