【Machine Learning, Coursera】机器学习Week5 Neural Networks: Backpropagation in Practice
Neural Networks: Backpropagation in Practice 本节内容：神经网络算法实现的注意事项 1. 展开参数(unrolling parameters) 2. 梯度检验(gradient checking) 3. 随机初始化(random initialization) 1. Unrolling Parameters 神经网络算法需要处理一系列的矩阵： Θ(1),
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