links.txt

Recognizing and Learning Object Categories
http://people.csail.mit.edu/torralba/shortCourseRLOC/index.html

FLANN - Fast Library for Approximate Nearest Neighbors
http://www.cs.ubc.ca/research/flann/

Point Cloud Library
http://www.pointclouds.org/about/

t-SNE完整笔记
http://www.datakit.cn/blog/2017/02/05/t_sne_full.html

从SNE到t-SNE再到LargeVis
http://bindog.github.io/blog/2016/06/04/from-sne-to-tsne-to-largevis/

为什么现在的CNN模型都是在GoogleNet、VGGNet或者AlexNet上调整的？
https://www.zhihu.com/question/43370067#answer-47073574

YOLO: Real-Time Object Detection
https://pjreddie.com/darknet/yolo/

Image Captioning
Explain Images with Multimodal Recurrent Neural Network, Mao et al.
Deep Visual-Semantic Alignments for Generating Image Descriptions, Karpathy and Fei-Fei
Show and Tell: A Neural Image Caption Generator, Vinyals et al.

Understanding the backward pass through Batch Normalization Layer
https://kratzert.github.io/2016/02/12/understanding-the-gradient-flow-through-the-batch-normalization-layer.html
https://zhuanlan.zhihu.com/p/31928979
http://cthorey.github.io./backpropagation/

Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/

Trained image classification models for Keras
https://github.com/fchollet/deep-learning-models

Pretrained models with torchvision
https://github.com/pytorch/vision

Graphically Determining Backpropagation Equations
http://practicalcryptography.com/miscellaneous/machine-learning/graphically-determining-backpropagation-equations/