卷积神经网络小结(Convolutional Neural Networks)
2014-03-13 09:59
519 查看
CNNs应用的最成功的一个例子:Yann LeCun(曾经是Hinton组的research associate)
http://yann.lecun.com/exdb/lenet/index.html
code project上的一个C++写的例子,有很详细的文档说明:
http://www.codeproject.com/Articles/16650/Neural-Network-for-Recognition-of-Handwritten-Digi
代码下载网站:
MATLAB:
http://www.mathworks.com/matlabcentral/fileexchange/24291-cnn-convolutional-neural-network-class
https://sites.google.com/site/chumerin/projects/mycnn
C++:
http://www.codeproject.com/Articles/16650/Neural-Network-for-Recognition-of-Handwritten-Digi
文章进阶:
【1】Gradient-Based Learning Applied to Document Recognition
Yann Lecun写的文章。算是这个方向很重要的文章。
【2】Notes on Convolutional Neural Network:2006
主要是公式推导。
【3】Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis:2003
对于结构把握比较好,如果要自己去编写代码,可以仔细看看这篇文章。
【4】3D Convolution Neural networks for Human Action Recognition:2012
以前的CNNs都是2D的,But this paper is for human action recognition, so one has to apply temporal dimension. So the author developed a noval model:3D convolution neural networks.(In 2D CNNs, 2D convolution neural networks is performed at the convolution layers to extract
the feature from local neighbourhood on feature maps in the previous layer.)
http://yann.lecun.com/exdb/lenet/index.html
code project上的一个C++写的例子,有很详细的文档说明:
http://www.codeproject.com/Articles/16650/Neural-Network-for-Recognition-of-Handwritten-Digi
代码下载网站:
MATLAB:
http://www.mathworks.com/matlabcentral/fileexchange/24291-cnn-convolutional-neural-network-class
https://sites.google.com/site/chumerin/projects/mycnn
C++:
http://www.codeproject.com/Articles/16650/Neural-Network-for-Recognition-of-Handwritten-Digi
文章进阶:
【1】Gradient-Based Learning Applied to Document Recognition
Yann Lecun写的文章。算是这个方向很重要的文章。
【2】Notes on Convolutional Neural Network:2006
主要是公式推导。
【3】Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis:2003
对于结构把握比较好,如果要自己去编写代码,可以仔细看看这篇文章。
【4】3D Convolution Neural networks for Human Action Recognition:2012
以前的CNNs都是2D的,But this paper is for human action recognition, so one has to apply temporal dimension. So the author developed a noval model:3D convolution neural networks.(In 2D CNNs, 2D convolution neural networks is performed at the convolution layers to extract
the feature from local neighbourhood on feature maps in the previous layer.)
相关文章推荐
- 卷积神经网络小结(Convolutional Neural Networks)
- 深度学习: Convolutional Neural Networks卷积神经网络
- Deep Learning(深度学习)Convolutional Neural Networks卷积神经网络
- 卷积神经网络(Convolutional Neural Networks,CNNS/ConvNets)
- 《ImageNet Classification with Deep Convolutional Neural Networks》ImageNet与深卷积神经网络分类
- Convolutional Neural Networks卷积神经网络
- Andrew Ng's deeplearning Course4Week1 Convolutional Neural Networks(卷积神经网络)
- 卷积神经网络Convolutional Neural Networks
- 卷积神经网络简介(Convolutional Neural Networks,简称CNN)
- 深入理解卷积神经网络(卷积篇)(Convolutional Neural Networks, CNNs)
- Deep Learning(深度学习)Convolutional Neural Networks卷积神经网络
- 深度学习笔记 (一) 卷积神经网络基础 (Foundation of Convolutional Neural Networks)
- Convolutional Neural Networks (卷积神经网络)
- Convolutional Neural Networks卷积神经网络 Contents 一:前导 Back Propagation反向传播算法 网络结构 学习算法 二:Convolutional N
- Convolutional Neural Networks卷积神经网络
- 【深度学习】卷积神经网络(Convolutional Neural Networks)
- tensorflow tutorials(七):用tensorflow实现卷积神经网络(Convolutional Neural Networks)
- Deep Learning(深度学习)学习笔记整理系列之(七)Convolutional Neural Networks卷积神经网络
- 卷积神经网络Convolutional Neural Networks
- Convolutional Neural Networks卷积神经网络