猫狗大战
#基于DenseNet网络的猫狗识别
利用DenseNet121神经网络模型，搭配Adam优化器，对猫狗进行二分类识别。
CatDog.py：训练模型主程序
ConfusionMatrix.py：输出混淆矩阵、准确率、召回率、精确率、F1 Score
Forecast.py：利用训练好的模型预测猫狗图片
Histogram.py：输出数据集的直方图
ImageEnhancementTest.py：用于测试可视化图像增强的效果
Pretreatment.py：用于对拿到的数据集进行预处理
数据集是由Kaggle提供的猫狗图片，共计25000张，猫与狗各12500张。
作者：Barry
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