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TensorBoard是用于可视化和调试机器学习模型的工具。它可以帮助跟踪训练过程中的各种指标，例如损失值、准确率等，并查看模型的结构和参数分布。
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TensorBoard可以绘制各种指标的曲线图，直观地观察训练过程中的变化趋势。绘制损失值曲线图来判断模型是否过拟合或欠拟合，绘制准确率曲线图来评估模型的性能。
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