I found I cant understand many basic knowledge of deep learning when I were reading papers, so I thought I need to search and try to know more fundamental knowledge of this domain.
Reinforcement Learning (RL) 强化学习
https://blog.csdn.net/extremebingo/article/details/79373740 强化学习
https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning/1-1-A-RL/ 什么是强化学习 (Reinforcement Learning)
Transfer Learning(TL) 迁移学习
https://blog.csdn.net/u010159842/article/details/79202107 什么是迁移学习 (Transfer Learning)？这个领域历史发展前景如何？
语义分割网络
https://blog.csdn.net/qq_20084101/article/details/80432960 干货 | 一文概览主要语义分割网络，FCN、UNet、SegNet、DeepLab 等等等等应有尽有
DeepLearning深度学习
https://blog.csdn.net/dQCFKyQDXYm3F8rB0/article/details/79257278 入门深度学习，先看看三位顶级大牛Yann LeCun、Yoshua Bengio和Geoffrey Hinton的联合综述
What‘s wrong with DL ,ML, and AI?
https://www.oschina.net/translate/deep-learning-vs-machine-learning
https://www.analyticsvidhya.com/blog/2017/04/comparison-between-deep-learning-machine-learning/?utm_source=dzone&utm_medium=social Deep Learning vs. Machine Learning – the essential differences you need to know!