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cat_dog_classification's Introduction

📣Introduction

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🤓~

💊Dependence

  • python 3.8
  • tensorflow 2.2.0
  • tensorboardX 2.6
  • Numpy 1.20.1
  • matplotlib 3.7.1

✨Usage

Dataset

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

Checkpoints

链接:https://pan.baidu.com/s/13Sw-E-yE2xhlpP3TYwuTNg?pwd=3526 提取码:3526

🎉Result

Training Accuracy:95.59%
Validation Accuracy:84.40% 
Testing Accuracy:83.58%

👁‍🗨Reference

https://github.com/girishkuniyal/Cat-Dog-CNN-Classifier

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