搜索资源列表
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卷积神经网络的Csharp版本，已经编译成windowsAPI库，根据Mike的源代码改写而成。供研究卷积神经网络CNN的人使用。-Csharp version convolutional neural network has been compiled into windowsAPI library, according to the source code adapted from Mike. CNN convolutional neural networks for research of
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Convolutional neural network for digits recognition
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用于书写体数字识别的卷积神经网络，VC++源码，仅供学习参考-Convolutional Neural Networks in Handwritten Digit Recognition Visual C++ implemented.
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端至端卷积神经网络的文字识别,代码演示包.
它包含我们的论文中使用的所有主要组成部分: kmeans无监督特征学习 + 卷积神经网络(CNN)-This is a demo package of the code we used for our paper, "End-to-End
Text Recognition with Convolutional Neural Networks", T. Wang, D. Wu,
A. Coates, A. Ng, in ICPR 2012.
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深度学习（Deep learning）matlab工具包-`NN/` - A library for Feedforward Backpropagation Neural Networks
`CNN/` - A library for Convolutional Neural Networks
`DBN/` - A library for Deep Belief Networks
`SAE/` - A library for Stacked Auto-
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CNN卷积神经网络 手写体识别 c#实现源代码。很好很经典。-Csharp version convolutional neural network . according to the source code adapted from Mike. CNN convolutional neural networks for research of the people.
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CNN卷积神经网络C++实现。完全可编译运行。对研究CNN卷积神经网络 很有帮助。-C++ version convolutional neural network。 according to the source code adapted from Mike. CNN convolutional neural networks for research of the people.
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This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot
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一个简单的卷积神经网络与线性神经元。
结构:输入- >卷积- > max池- >卷积- > max池- >完全连接。
编译c++马克斯池功能首先输入“墨西哥人MaxPooling.cpp”。
数据可以在http://ai.stanford.edu/下载~ amaas /数据/ data.zip
可以在http://ufldl.stanford.edu/wiki/index.php/Using_the_MNIST_Dataset下载的数据加载函数
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针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes:
- Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
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常用神经网络算法，以及原理实现。。。包括MLP神经网络、卷积神经网络-Common neural network algorithm, as well as the principle of implementation... Including MLP neural network, convolutional neural network, etc.
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CNN - 主程序
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者：陆振波
电子
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Nitish Srivastava University of Toronto.利用GPU训练深度学习算法-Implementation of some deep learning algorithms. Nitish Srivastava
University of Toronto.
GPU-based python implementation of
1. Feed-forward Neural Nets
2. Restricted Boltzmann Machines
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创建一个深度卷积神经网络，训练，检测网络，-Creating a depth convolutional neural network, trained to detect network,
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深度卷积神经网络，该函数实现2部分功能，计算并传递误差，计算梯度-Depth convolutional neural network, the 2 functions for some functions, calculation and transmission error, calculated gradient
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卷积深度置信网，在Lee的基础上进行了一定的完善，使用RBM来预训练CNN，实现对CNN的初始化-Convolutional neural nets
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<\视觉机器学习20讲>配套仿真代码——CNN，卷积神经网络，有注释，适合初学者-Visual simulation code CNN, form a complete set of machine learning about 20 convolutional neural networks, have comments, suitable for beginners
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使用3d卷积神经网络对说话人身份进行识别(Using 3D Convolutional Neural Networks for Speaker Verification)
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基于MATLAB实现的卷积神经网络例子，包括详细的解释。(An example of convolution neural network based on MATLAB)
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Constitutional Neural Network Program for Prediction Model as Object Classification
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