我是优雅的分割线————————————————————————————————————————————

从今天开始：梳理下列几篇论文，主要以翻译的形式进行加深理解

0、Visualization：Visualizing and Understanding Convolutional Networks

1、AlexNet：ImageNet Classification with Deep Convolutional Neural Networks

2、RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation

3、Lenet：Gradient-based learning applied to document recognition

4、FAST-RCNN：Fast R-CNN

5、FASTER-RCNN：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

6、LSTM：LSTM: A Search Space Odyssey

7、RNN：Supervised Sequence Labelling with Recurrent Neural Networks

8、Yolo：You Only Look Once:Unified, Real-Time Object Detection

论文地址：http://pan.baidu.com/s/1bprcTeJ 

后续：梳理相关DL，NLP领域概念以及网络架构，相关工具及实验