搜索资源列表
LeNet
- 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.
Lenet
- 卷积神经网络（lenet_5）代码,用于手写字符识别(code of convolutional neural network for handwork characterisic recognation)
卷积神经网络 - 副本
- 对LeNet-5的matlab实现，识别MINST手写数字集，压缩文件包含程序文件和训练、测试图片文件，程序可直接运行（版本matlab R2008a）(For the matlab implementation of LeNet-5, the MINST handwritten numeric set is identified. The uploaded file contains the program file and the training and test file. The pr
Lenet
- 经典五层卷积神经网络，应用在mnist库上(The classical five layer convolution neural network application in the MNIST database)
matlab实现LeNet
- 卷积神经网络LeNet代码，可实现图片分类(Convolution neural network code)
LeNet
- 本文档是LeNet的源代码，主要用于迁移学习，当然可以进行相应的调整和改进，使得性能更加优越。(This document is the source code of LeNet, which is mainly used for migration learning. Of course, corresponding adjustments and improvements can be made to make the performance more superior.)
CNN
- 卷积神经网络分类 调制信号识别 卷积神经网络（Convolutional Neural Networks, CNN）是一类包含卷积计算且具有深度结构的前馈神经网络（Feedforward Neural Networks），是深度学习（deep learning）的代表算法之一 [1-2] 。卷积神经网络具有表征学习（representation learning）能力，能够按其阶层结构对输入信息进行平移不变分类（shift-invariant classification），因此也被称