Welcome to My Blog!

• Basics about Convolutional Neural Networks II

  2018-07-26

  DeepLearning

  CNN
  This post talks about some basics about CNN, such as what is weight sharing and pooling.
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• Basics about Convolutional Neural Networks I

  2018-07-22

  DeepLearning

  CNN
  This post briefly talks about some basics about CNN, such as how to use relus, save and restore trained models, and regularization in TensorFlow.
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• Introduction to TensorFlow

  2018-07-22

  DeepLearning

  TensorFlow
  A brife introduction to TensorFlow.
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• KMeans

  2018-07-22

  MachineLearning

  KMeans
  A simple explanation on KMeans and KMeans Neural Network. Python implementations on them are also provided.
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• Ensemble Learning

  2018-07-20

  MachineLearning

  RandomForest  AdaBoost  Boostrap
  A theoretical explanation on AdaBoost, Boostrap, and Random Forest. Python implementations on thoes three topics are also provided.
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• Decision Tree

  2018-07-13

  MachineLearning

  DecisionTree
  A theoretical intro to decision tree and an implementation on ID3 using Python
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