利用ResNet34实现猫狗分类(包括数据集和代码)

上传者: mengxinmengxin12 | 上传时间: 2023-12-24 21:16:14 | 文件大小: 293.8MB | 文件类型: RAR
数据集:training_set, test-set,traing_set里面存放的是猫狗分类的数据集,test_set里面存放的是猫狗分类的测试集。 datasets.py:数据集的读取,并且会按照7:3的比例将traing_set划分为测试集和验证集 chuli.py:验证数据集读取的正确性 model.py:里面存放的ResNet34的代码 train.py:训练集,并且会drew出训练集和验证集的损失和acc test.py:最终会输出训练好的模型(resnet.pth)对于测试集的acc 该项目非常适合初学深度学习者,可以学习关于数据集

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