We define both activation functions (Sigmoid and ReLU) along with their derivatives, and use binary cross-entropy as the loss since this is a binary classification task. The TwoLayerNet class represents a simple 3-layer feedforward network (2 hidden layers + output), where the only configurable component is the activation function.
从苹果的视角来看，这种模式与「热更新」在本质上难以区分。审核通过的只是 Anything 的外壳，但壳内实际运行的代码随着每次使用不断变化，这些动态生成的代码从未经过苹果的审核。
，更多细节参见搜狗输入法
version: "1.0.0",
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