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FashionMNIST 图像分类项目 (CV Project 1)
本项目基于 FashionMNIST 数据集,旨在通过构建深度学习模型实现对 10 类服装图像的自动分类。本项目不仅包含了完整的训练和测试流程,还集成了实验结果的可视化分析工具(如损失曲线、混淆矩阵等)。 数据集:包含 70,000 张 28x28 灰度图像,分为 10 个类别。
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