一个非常easy的项目,仅仅只是为了通过猫狗分类实例熟悉基本的Tensorflow接口🎇
实验部分探索了三组不同的学习率对模型泛化性能的影响。
Furthermore,等之后兴致来潮就updating🤓~
- python 3.8
- tensorflow 2.2.0
- tensorboardX 2.6
- Numpy 1.20.1
- matplotlib 3.7.1
下载地址:https://www.kaggle.com/datasets/tongpython/cat-and-dog
训练集、验证集、测试集比例:8 : 1 : 1
目录结构:
data/
├── test
│ ├── cats
│ │ ├── cat.1.jpg
│ │ ├── cat.2.jpg
│ │ ├── .
│ │ ├── .
│ └── dogs
├── train
│ ├── cats
│ └── dogs
└── val
├── cats
└── dogs
链接:https://pan.baidu.com/s/13Sw-E-yE2xhlpP3TYwuTNg?pwd=3526 提取码:3526
Training Accuracy:95.59%
Validation Accuracy:84.40%
Testing Accuracy:83.58%