搜索资源列表
CNNcharacterrecog
- 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
CNN
- 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
CNN-facelable
- 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.
DeepLearnToolbox_CNN_lzbV2.0
- 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
DeepLearnToolbox_CNN_lzbV3.0
- 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
CNN-Face-Point-Detection-master
- 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
CNN_face_detection-master
- 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
face-CNN
- 自己编写的CNN程序，包括怎么创建数据集-I have written CNN program, including how to create a data set
monitor-recorder
- 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
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程，程序基于Python+numpy+theano+PIL开发，采用类似LeNet5的CNN模型，应用于olivettifaces人脸数据库，实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CNN model like LeNet5, which is
FaceRecognition_CNN(olivettifaces)
- 卷积神经网络面部识别利用python 实现(Python implementation of convolution neural network face recognition)
CNN人脸检测VS2015+Opencv310
- CNN人脸检测VS2015+Opencv310(cnn face detection VS2015+Opencv310)
face-generator-master
- word test for cnn genrate face(cnn for c++, face generater zip)
MTCNN-light-master
- face detection with CNN, much better effect than haar in opencv and lbp in opencv
剪枝操作.tar
- 这是用于人脸识别相关论文，包括迁移学习，神经网络训练学习率，超参数设置等(This is for face recognition related papers, including migration learning, neural network training learning rate, super parameter setting, etc.)
cnn人脸识别
- 用卷积神经网络做的人脸识别，准确率达到92.75%。(The accuracy of face recognition using convolution neural network is 92.75%.)
matlab手写卷积神经网络人脸识别
- 基于卷积神经网络的人脸识别，学生作品啊啊啊啊啊啊(open face cnn student school what i should do)
cnn人脸识别
- 使用CNN实现人脸识别，包括训练数据集与测试数据集(Face recognition using CNN, including training data set and test data set)
CNN-figure-recognize
- 本程序主要包括：人脸识别、图像采集、模型训练等功能(Face recognition, image acquisition, model training)
CNN-FaceRec-keras-master.zip
- 人脸识别代码 ## CNN-FaceRec 基于Keras的CNN人脸识别 == ### 所需环境 tensorflow-gpu==2.0.0 Keras==2.3.1 h5py==2.10.0 ### 使用方法 #### 文件下载 链接：https://pan.baidu.com/s/1HxLw4oYGhfV-hughUQ7VEA 提取码：9uea 下载好权重文件放到logs文件夹里 链接：https://pan.baidu.com/s/1aC