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Chapter9
9-3 逻辑回归算法损失函数的梯度
线性回归算法的梯度：
逻辑回归算法的梯度：
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\nabla J(\theta) = \frac{1}{m} \cdot \ \begin{Bmatrix} \sum_{i=1}^m (\hat y^{(i)}-y^{(i)}) \\ \sum_{i=1}^m (\hat y^{(i)}-y^{(i)})\cdot X_1^{(i)} \\ \sum_{i=1}^m (\hat y^{(i)}-y^{(i)})\cdot X_2^{(i)} \\ ... \\ \sum_{i=1}^m (\hat y^{(i)}-y^{(i)})\cdot X_n^{(i)} \\ \end{Bmatrix} \ = \frac{1}{m}\cdot X_b^T\cdot (\sigma(X_b\theta)-y)
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Last updated
5 years ago
逻辑回归算法的梯度： 逻辑回归算法的梯度：