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This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot na
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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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用CNN实现人脸标注,是适用于人脸识别及人脸检测-using CNN for Facelable，for face recognition or face detection.
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
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/rasmusberg
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5下载：
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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基于CNN的人脸检测，VS2015+Opencv3.1.0调试通过的源代码，根据自己环境修改配置即可使用-Based on CNN face detection, source code VS2015+Opencv3.1.0 through debugging, according to their environment can be used to modify the configuration
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CVPR2015级联CNN进行人脸检测的MATLAB实现代码，按照流程实现，效果绝佳-CVPR2015 cascade CNN for face detection MATLAB implementation code, according to the sequence, and excellent results
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SeetaFace人脸识别引擎包括了搭建一套全自动人脸识别系统所需的三个核心模块，即：人脸检测模块SeetaFace Detection、面部特征点定位模块SeetaFace Alignment以及人脸特征提取与比对模块SeetaFace Identification。
主要功能：
人脸检测模块(SeetaFace Detection): 采用了一种结合传统人造特征与多层感知机（MLP）的级联结构，在FDDB上达到了84.4 的召回率（100个误检时），并可在单个i7
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卷积神经网络面部识别利用python 实现(Python implementation of convolution neural network face recognition)
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CNN人脸检测VS2015+Opencv310(cnn face detection VS2015+Opencv310)
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face detection with CNN, much better effect than haar in opencv and lbp in opencv
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近几年，传统的人脸识别算法被深度卷积网络所代替。CNN的主要优势就是可以结合庞大的数据集提取出原先所提出不出来的优质feature,与此同时精度也提升了很多。同时CNN的出现也加速了计算机视觉的发展，例如object detection 、recognition、segmentation。
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