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本项目为《人工智能》课程论文配套实验工程，围绕“基于 ResNet-18 的图像分类算法复现与性能分析”展开，使用 PyTorch 完成了以下两部分实验： CIFAR-10 主体实验：以 ResNet-18 为主模型，以自行设计的 ClassicCNN 为对照模型，完成图像分类训练、测试与可视化分析。

Your browser does not support the audio element. Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications ...

What if a device could see the world the same way humans do, seeing objects, recognizing them, and understanding what they are in real time? Just like our eyes capture visuals and our brain instantly ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...

Digital Interface,Edge Server,Edge Artificial Intelligence,Fusion Center,Local Features,Mobile Network,Air Interface,Channel Gain,Communication Latency,Feature Dimension,Federated Learning,Fusion ...