Machine Learning

by themes

• Recommendation
• Face
• Person re-identification

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:1603.05027
• cutting edge deeplearning for coders

general

• CUDA기타설치
• nets
  • AlexNet
  • dilated cnn
  • pathnet
  • Fast RCNN
  • Faster RCNN
  • ResNet
  • Inception (GoogLeNet)
  • fully convolutional networks
  • FractalNets
  • highway networks
  • DenseNet
  • NIN
  • DSN
  • Ladder Networks
  • DFNs
  • YOLO
• Learning to learn by GD by GD
• Generative Models (GAN, VAE, etc)
• Batch Normalization
• Mean Average Precision
• Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
• What is surrogate loss?
• Exponential Linear Unit
• Neural net이 working하지 않는 37가지 이유
• deconvolution
• Sparse coding
• MXNet Model Zoo