1

神经网络/main.py

@@ -22,7 +22,7 @@ class NeuralNetwork:
         structure: List[int],
         hidden_activate: Literal["relu"] = "relu",
         output_activate: Literal["linear", "softmax"] = "linear",
-        seed: int = 52,
+        seed: int = 62,
         epsilon: float = 1e-9,
     ):
         """
@@ -30,7 +30,7 @@ class NeuralNetwork:
         :param structure: 神经网络结构，例如[2, 10, 1]表示2层神经网络，具体为输入层2个神经元、隐含层10个神经元、输出层1个神经元
         :param hidden_activate: 隐含层的激活函数，默认为relu
         :param output_activate: 输出层的激活函数，默认为linear
-        :param seed: 随机种子，默认为52
+        :param seed: 随机种子
         :param epsilon: 极小值，默认为1e-9
         """
         print("正在初始化神经网络...", end="")