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DeepLearning_Notes

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Github:https://github.com/ccc013

知乎专栏:机器学习与计算机视觉,AI 论文笔记

微信公众号:AI 算法笔记

在这里插入图片描述

机器学习、深度学习的学习笔记、代码,包括教程、实战,以及论文阅读笔记和代码。

目录

学习笔记

数学

论文笔记

记录平时阅读的论文笔记

Object Detection

Title	Paper	Code	My note	Discuss
Focal Loss for Dense Object Detection	https://arxiv.org/abs/1708.02002	官方 github:https://github.com/facebookresearch/detectron tensorflow:https://github.com/tensorflow/models https://github.com/fizyr/keras-retinanet https://github.com/yhenon/pytorch-retinanet	https://mp.weixin.qq.com/s/6ivSPTfF_h6eMyE7h18hUQ

OCR

Title	Paper	Code	My note	Discuss
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition	https://arxiv.org/abs/1507.05717	https://github.com/bgshih/crnn	https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483793&idx=1&sn=c48d812a8fde3a39c90dc5a64375ff83&chksm=c09a43aaf7edcabc8b2dd7d959254daa8cb475b112be03ab735b94d9febdb90aaf22e760872d&token=1492400943&lang=zh_CN#rd

Fashion

Title	Paper	Code	My note	Discuss
FashionNet:"FashionNet: Personalized Outfit Recommendation with Deep Neural Network"	https://www.ijcai.org/proceedings/2017/0239.pdf	/	https://github.com/ccc013/paper_reading/blob/master/fashion/FashionNet%20%E8%AE%BA%E6%96%87%E7%AC%94%E8%AE%B0.md	issue
Learning Fashion Compatibility with Bidirectional LSTMs	https://arxiv.org/abs/1707.05691	https://github.com/xthan/polyvore	https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483874&idx=1&sn=ee302ebc030f0da7775328699af9128d&chksm=c09a43d9f7edcacf76df3961c438c9e3a627dc8a91aaafb6303f6b5345e3336dec77b90d296a&token=1862930471&lang=zh_CN#rd
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network	https://arxiv.org/abs/1907.11496	https://github.com/WangXin93/fashion_compatibility_mcn	https://mp.weixin.qq.com/s/LTkP8RHfJHKHfcUNxqH2qw
Learning Similarity Conditions Without Explicit Supervision	https://arxiv.org/pdf/1908.08589.pdf	https://github.com/rxtan2/Learning-Similarity-Conditions	https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483945&idx=1&sn=483d4244460e482c7cecda1dd7ea5d9e&chksm=c09a4012f7edc9046e009843d7094f869ff72d32a0168a20f8e8dd3245c08e1935c734f46ca7&token=1492400943&lang=zh_CN#rd

Recommend System

Title	Paper	Code	My note	Discuss
DeepFM:"DeepFM: A Factorization-Machine based Neural Network for CTR Prediction".	paper	Tensorflow Pytorch

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