GitHub - XiaoqianSun0104/Learning-CNN: Learning CNN

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Name		Name	Last commit message	Last commit date
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Activation Function.ipynb		Activation Function.ipynb
Intro to CNN (Example using Keras).ipynb		Intro to CNN (Example using Keras).ipynb
ReadMe.txt		ReadMe.txt
Regularization.ipynb		Regularization.ipynb
Transfer Learning.ipynb		Transfer Learning.ipynb

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This repository contains all python code when self-learning CNN.
  
  1.Intro to CNN: A brief introduction of CNN. Sometimes you will feel confusing when you get to know new models, but you can always get a clear clue when you look back.
  
  2.Regularization: Just start. A introduction of all over-fitting regularizartion methods. In dropout part, there is a CNN model using tensorflow.
  
  3.Activation Function: Just start. Introduce differnet activatio function.
  
  4.Transfer Learning: Just start. Learn the power of transfer learning, and save time and cost when you want to train a model next time. I also want to try ResNet using transfer learning. And the most popular object tracking model, mask R_CNN, also used transfer learning.  

Hope I can keep updating this repository.