MirstT / Colab_Cifar10_Image_recognition
Cifar10图像分类 由于Cifar10数据集较大，且本文中的训练模型的总参数多达142万， 即使在本地使用GPU（MX150）训练，每次运行仍需接6-8小时，不利于程序的后续调整， 故本程序借助Google Colab（约30min-1h）利用GPU加速在云端运行。 最终模型在（最佳的一次参数：batch=256,factor=0.1,patience=5,62s, 35epoch） 训练集上的准确率为：99.78% 验证集上的准确率为：97.15% 测试集上的准确率为：97.07%
☆7Updated 3 years ago
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