torch拟合一次函数
时间: 2023-11-19 20:57:10 浏览: 36
在Pyrch中拟合一次函数y = ax + b,可以通过以下步骤实现:\n\1. 定义训练数据和目标数据,可以使用umpy生成随机数据"},"finish_reason":nu。\n\ ```pyth\ impor numpy as np\n \ x_trai = np.array([[3.3], [4.4], [5.5], [6.71], [6.93], [4.168], \ [9.779], [6.182], [7.59], [2.167], [7.042], \ [10.791], [5.313], [7.997], [3.1]], dtyp=np.f32)\ y_trai = np.array([[1.7], [2.76], [2.09], [3.19], [1.694], [1.573], \ [3.366], [2.596], [2.53], [1.221], [2.827], \ [3.465], [1.65], [2.904], [1.3]], dtyp=np.f32)\ ```\n\2. 定义模型,可以使用Pyrch的模块定义一个线性模型。\n\ ```pyth\ impor torch\ impor torch. as \n \ class LinearRegressi(.Modu):\ def __ini__(self, inpu_dim, outpu_dim):\ super(LinearRegressi, self).__ini__()\ self.linear = .Linear(inpu_dim, outpu_dim)\ \ def forwar(self, x):\ ou = self.linear(x)\