搜索资源列表
CNN_LeNet
- LeNet5 trainning algorithm based on Theano. Require NumPy, Matplotlib and Theano 0.7
Lenet5_EasyPR_D
- 基于网上的matlab版lenet5,改成识别车牌字符，仅仅识别英文字符和数字。收集图片功能，训练，识别功能。-Based on the online version of matlab lenet5, changed license plate character recognition, identifies only English characters and numbers. Collection picture functi
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 CN
lenet5
- 实现了一个简单的Lenet-5，6层网络结构。(A simple Lenet-5 code)
CNN-LeNet5
- CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)
lenet5
- 此例为神经网络中lenet5的框架，适合学习图像识别、cnn的人学习(This is the fr a mework of the lenet5 neural network, image recognition, suitable for learning to learn CN)
Lenet5
- 利用lenet5，进行数字和字母的识别，网络已训练好可直接使用。 附带中文字符样本(Using lenet5 to recognize numbers and letters, the network has been trained and can be used directly. Incidental Chinese character sample)
MATLAB-LeNet5-master
- 手写体识别 lenet5 LeNet5由7层CNN（不包含输入层）组成，上图中输入的原始图像大小是32×32像素，卷积层用Ci表示，子采样层（pooling，池化）用Si表示，全连接层用Fi表示。下面逐层介绍其作用和示意图上方的数字含义。(Lenet5 is composed of seven layers of CNN)