code-of-learn-deep-learning-with-pytorch
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第三章逻辑斯蒂回归的代码问题
画出参数更新之前的结果
w0 = w[0].data[0] w1 = w[1].data[0] b0 = b.data[0]
plot_x = np.arange(0.2, 1, 0.01) plot_y = (-w0 * plot_x - b0) / w1 # 上面会导致乘法不能正常操作, 应该讲w0,w1,w2转换成numpy array 才能调通