梯度下降模型实验(对《An overview of gradient descent optimization algorithms》内容的复现)
数据集:sklearn.datasets
中的波士顿数据集。
BGD(批梯度下降)、SGD(随机梯度下降)和Mini-batchGD(小批梯度下降)。
SGD算法,不同学习率下的下降效果:
控制相同的学习率5e-5,对于相同的参数初始点和数据进行三种梯度下降:
控制学习率相同(1e-4):
梯度下降模型实验
梯度下降模型实验(对《An overview of gradient descent optimization algorithms》内容的复现)
数据集:sklearn.datasets
中的波士顿数据集。
BGD(批梯度下降)、SGD(随机梯度下降)和Mini-batchGD(小批梯度下降)。
SGD算法,不同学习率下的下降效果:
控制相同的学习率5e-5,对于相同的参数初始点和数据进行三种梯度下降:
控制学习率相同(1e-4):
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