danyow-cheung/kaggle_practise

kaggle上練習代碼

kaggle_practise

kaggle上練習搭建模型代碼

如何將kaggle導入到colab

1. Go to your account, Scroll to API section and Click Expire API Token to remove previous tokens

2. Click on Create New API Token - It will download kaggle.json file on your machine.

3. Go to your Google Colab project file and run the following commands:

   1) ! pip install -q kaggle

   2) from google.colab import files

files.upload()

• Choose the kaggle.json file that you downloaded

3) ! mkdir ~/.kaggle

! cp kaggle.json ~/.kaggle/

• Make directory named kaggle and copy kaggle.json file there.

4) ! chmod 600 ~/.kaggle/kaggle.json

• Change the permissions of the file.

5) ! kaggle datasets list - That's all ! You can check if everything's okay by running this command.

Download Data

! kaggle competitions download -c 'name-of-competition'

Use unzip command to unzip the data:

For example,

Create a directory named train,

! mkdir train

unzip train data there,

! unzip train.zip -d train

Predict data(ml)

• 泰坦尼克乘客存活預測

• 石油洩漏區域預測

• 泰坦尼克號宇宙飛船

Predict data(dl)

• 股票预测数据集

• 手写字体识别

• 手語字母識別

  .csv格式識別

• GAN繪圖

Image Classification

• 胸部X光肺炎圖像

• 速食食物图片分类

• 鞋子图片分类

• 工件缺陷檢測

Image Recognition

• 地形图片分类

练习目标

使用keras.applications上的经典模型多跑分类等数据集

按照模型出现的先后时间顺序进行学习

• Xception✅
• AlexNet✅
• VGG16✅
• VGG19
• ResNet50✅
• [ResNet50v2](((https://github.com/danyow-cheung/kaggle_practise/blob/main/paper/ResNet))
• ResNet101
• ResNet152
• ResNet152V2
• InceptionV3
• InceptionResNetV2
• MobileNet
• MobileNet
• YOLO

todo： Image Matching Challenge 2022