my reading list about deep learning

阿新 • • 發佈：2019-02-06

Tutorials:

0、TUTORIAL ON DEEP LEARNING FOR VISION at CVPR 2014http://bigdata.memect.com/?p=11531

1、http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial (the first time to study neural network, I read some contents of this tutorial.)

2、course of neural networks for machine learning, byHinton

. https://www.coursera.org/course/neuralnets

3、Book of Machine learning (Regression and Neural networks): 這個簡單快速理解網路架構，入門材料挺好滴。

From Hinton （http://www.cs.toronto.edu/~hinton/）

1、Hinton, G. E. and Salakhutdinov, R. R. Reducing the dimensionality of data with neural networks. Science2006.

2、Krizhevsky, A., Sutskever, I. and

Hinton, G. E. ImageNet Classification with Deep Convolutional Neural Networks , Advances in Neural Information Processing 25, 2012

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (Sun Jian)

------ Mainly introduce a spatial pyramid pooling layer toremove the fix-sized constraint

of CNN. ------- SPM+CNN

Some codes:

Caffe Yangqing Jia: https://github.com/BVLC/caffe

Caffe on Windows_Zhiheng Niu:https://github.com/niuzhiheng/caffe

Network in Network_LiMin: https://github.com/mavenlin/caffe/tree/cccp-dev

my reading list about deep learning

Tutorials: 0、TUTORIAL ON DEEP LEARNING FOR VISION at CVPR 2014http://bigdata.memect.com/?p=11531 1、http://ufldl.stanford.edu/wi

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my reading list about deep learning

From Hinton （http://www.cs.toronto.edu/~hinton/）

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