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dogs-vs-cats

本项目根据Kaggle上的一个比赛改编。

项目代码

  • cnn_model.ipynb 模型的搭建、训练和评估等
  • split_dataset.py 对原始数据进行划分

注意点

  • 训练集、验证集和测试集是固定的
  • 为了提升准确率，可以将整个数据集打乱重新划分
  • 神经网络的结构未必科学，可能需要改变网络结构来提升准确率
  • 训练好的模型文件放在了model_data文件夹里

模型性能

  • 测试集上的准确率：92.94%（还算凑合...）
  • 训练曲线 curve

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