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首先用R语言构造数据点 > y <- c(5, 7, 9, 11, 16, 20) > x <- c(1, 2, 3, 4, 7, 9) > plot(x,y) 绘制的散点图图像如下所示 用lsfit(x,y)计算回归直线方程的谢啦和截距以及残渣 输入如下所示： > lsfit(x,y) 产生的结果如下： $coefficients I

摘抄记录： MaxPooling Another important concept of CNNs is max-pooling, which is a form of non-linear down-sampling. Max-pooling partitions the input image into a set of non-overlapping rectangles and, fo