Machine Learning

ril

• https://medium.com/technologymadeeasy/the-best-explanation-of-convolutional-neural-networks-on-the-internet-fbb8b1ad5df8
• http://nmhkahn.github.io/Casestudy-CNN
• https://stats.stackexchange.com/questions/205150/how-do-bottleneck-architectures-work-in-neural-networks
• https://www.quora.com/What-exactly-is-the-degradation-problem-that-Deep-Residual-Networks-try-to-alleviate
• dl with torch
• bias 붙여버리면 inv는 어케 구하나? D=0되지 않나? 구할필요 없나?
• pytorch examples
• Identity Mappings in Deep Residual Networks arxiv 2016

general

• CUDA기타설치
• nets
  • AlexNet
  • dilated cnn
  • pathnet
  • ResNet
  • Inception (GoogLeNet)
  • fully convolutional networks
• Learning to learn by GD by GD
• Face
• Person re-identification
• Generative Models
• Batch Normalization
• YOLO
• Essential Cheat Sheets for Machine Learning and Deep Learning Engineers