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UESTC可信云实验室2020新生入学暑假教程

其中包括

  • 基础ML算法实现(python)
    1. Kmeans
    2. KNN
    3. Logistic Regression
    4. Softmax Regreesion
    5. BP神经网络
    6. CART
    7. 贝叶斯方法
    8. PCA
  • TensorFlow学习
    1. AlexNet
    2. VGGNet
    3. GoogLeNet
    4. ResNet
    5. LSTM
  • TensorFlow应用
    1. 针对文本的分类
    2. 运动目标检测
    3. 运动目标识别

这里只做了基础机器算法的实现,对应于相应文件名。

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实验室入学教程

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