Pytorch Cookbook

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Beginner

• 머신러닝 기초지식
• Pytorch 기본

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Classification

• implementation

Model	Blog	Code	paper
LeNet	Blog	Code	Gradient-Based Learning Applied to Document
AlexNet	[Blog]	Code	Imagenet-Classification-with-Deep-Convolutional-Neural-Networks
VGG	[Blog]	Code	Very Deep Convolutional Networks for Large-Scale Image Recognition
ResNet	[Blog]	Code	Deep Residual Learning for Image Recognition
GoogLeNet	[Blog]	Code	Going Deeper with Convolutions

Detection

• implementation

Model	Blog	Code	paper
RCNN	Blog	[Code]	Rich feature hierarchies for accurate object detection and semantic segmentation
YOLOv1	Blog	[Code]	You Only Look Once: Unified, Real-Time Object Detection
SSD

Segmentation

• implementation

Model	Blog	Code	paper
FCN	Blog	[Code]	Fully Convolution Networks for Semantic Segmentation
U-Net	Blog	Code	U-Net: Convolutional Networks for Biomedical Image Segmentation