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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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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基于卷积神经网络的模式分类器,论文中讲述了卷积神经网络的技术，是个好论文。-pattern classfier based on convolutional nerual networks
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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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卷积神经网络（cnn）的练习程序，包含多个exercise-convolutional nerual network
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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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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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Convolutional Kernel Network 算法原码-Code of Convolutional Kernel Network. Used for feature extraction and classification, LEAR France
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DeepLearnToolbox是Matlab的深度学习工具箱，包含了深度信度网络DBN，卷积网络CNN，SAE（stacked auto-encoders）,CAE(Convolutional auto-encoders)和NN深度学习算法的实现。-DeepLearnToolbox is a MATLAB toolbox about depth learning, contains realizations of deep belief network DBN, convolutional n
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卷积神经网络是近年来广泛应用于模式识别、图像处理等领域的一种高效识别算法，它具有结构简单、训练参数少和适应性强等特点。-Convolutional Neural Network Library
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是《Learning a Deep Convolutional Network for Image Super-Resolution》文章相关的MATLAB代码，可以利用训练好的字典，通过CNN实现超分辨率重建(SR)的功能。(Matlab demo code for "Learning a Deep Convolutional Network for Image Super-Resolution" (ECCV 2014) and "Image Super-Reso
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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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这篇文章是CVPR2017的oral，非常厉害。文章提出的DenseNet（Dense Convolutional Network）主要还是和ResNet及Inception网络做对比，思想上有借鉴，但却是全新的结构，网络结构并不复杂，却非常有效！众所周知，最近一两年卷积神经网络提高效果的方向，要么深（比如ResNet，解决了网络深时候的梯度消失问题）要么宽（比如GoogleNet的Inception），而作者则是从feature入手，通过对feature的极致利用达到更好的效果和更少的参数。(
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