1、解决
Y=aX1+bX2+cX3+...+qXn这类问题时,达到较好的学习效果的网络结构2、面对高维数据时,进行降维的方法
收起
tensorflow实现线性回归_小德叫玛西亚-CSDN博客 import tensorflow as tfimport numpy as npimport matplotlib.pyplot as plttrain_X = np.linspace(-1, 1, 100)train_Y = 2 * train_X + np.random.rand(*train_X.shape) * 0.3plt.plot(train_X, train_Y,... https://blog.csdn.net/t_qrqt/article/details/105922598?spm=1001.2014.3001.5502
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