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=== 反向传播与梯度下降 === 网络通过反向传播算法计算损失函数对各参数的梯度，再利用梯度下降及其变体（如 SGD、Adam）不断调整权重，使模型预测逐步逼近真实值。这是深度学习模型训练的核心机制。
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