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classic-deeplearning-papers's Introduction

经典论文

MODEL ARCHITECTURE

Alexnet

ImageNet Classification with Deep Convolutional Neural Networks.pdf

深度学习兴起的引子

VGG

Very Deep Convolutional Networks for Large-Scale Image Recognition

使用 3*3 卷积减少参数量的深层网络

GoogleNet,Inception系列

Densenet

Densely Connected Convolutional Networks

參差系列

何恺明个人主页http://kaiminghe.com/

轻量级网络

LOSS FUNCTION

Object Detection

Semantic Segmentation

  • FCNN
    • Fully Convolutional Networks for Semantic Segmentation: 用于语义分割的全卷积神经网络,开启使用卷积神经网络进行语义分割的先河;

Face Recognition

OTHERS

上采样的优点

batch的优点

数据蒸馏,一种使用无标签数据训练的全方位学习方法,在Kaggle等大数据竞赛中非常有用

IQA

No-reference Image Quality Assessment 相关论文,包括人脸姿态估计

DeepLearning-500-questions

四川大学深度学习500问,包含了深度学习数学基础、经典框架、常见问题等 github

classic-deeplearning-papers's People

Contributors

xungeer29 avatar

Stargazers

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