深度学习模型资源包+MobileNetV3-large代码与推理示例

资源内容介绍

本资源包包含 MobileNetV3 的大模型（MobileNetV3_Large）版本的完整代码与测试资源，适合希望深入研究和应用轻量级神经网络的开发者和研究人员。资源中包括预训练权重文件 (300_act3_mobilenetv3_large.pth)、详细的训练日志、标签文件、测试图像（如 car.jpeg）以及推理代码。本次测试使用了大模型对汽车图像进行分类推理，展示了 MobileNetV3 在实际应用场景中的性能表现。此外，还附带 FLOPs 计算脚本，帮助用户评估模型的计算复杂度和效率，为网络优化和实际部署提供参考。详细介绍可见博客https://wuxian.blog.csdn.net/article/details/143170942

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