AI_Papers

• Papers
  • CNN
    • AlexNet: ImageNet Classification with Deep ConvolutionalNeural Networks
    • GoogLeNet: Going Deeper with Convolutions
    • Inception-v2, v3: Rethinking the Inception Architecture for Computer Vision
    • ResNet: Deep Residual Learning for Image Recognition
    • VGGNet: Very Deep Convolution Networks For Large-Scale Image Recognition
    • Visualization: Simple Summary of CAM, Grad CAM, Grad CAM++
  • Object Detection
    • Fase R-CNN: Fast R-CNN
    • Faster R-CNN: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • Batch Normalization: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
• Implementation Except Papers
  • K-Fold Cross Validation & Early Stopping: Implementantion K-Fold Cross Validation and Early Stopping for Pytorch
  • Vanilla Gan: Implemenation Vanilly Gan and Training Model by MNIST Dataset
  • Save Some Codes
    • Check Data Image: Codes for Check Images
    • Check DataLoader Image: Codes for Transformed Images by DataLoader
    • Freeze some layers in pretrained model: A Method of Freezing some layers in Pretrained Model
    • Learning Rate Decay: Simple Summary of Learning Rate Decay