搜索资源列表
CNN
- 一个卷积层+一个下采样+softmax实现mnist识别(implement a simple CNN)
tensorflow-cnn
- 基于TensorFlow的mnist数据集识别，使用CNN的方法，采用梯度下降学习(MNIST data set recognition based on TensorFlow, using CNN method, using gradient descent learning)
CNN Matlab代码
- 利用大量图像数据对卷积神经网络算法进行训练，通过卷积、池化、下采样以及全连接层训练后的卷积神经网络在图像识别精度越来越高。(By using a large number of image data to train the convolutional neural network algorithm, the accuracy of the image recognition is higher and higher by convo
CNN-123
- 区别于传统的图像识别，将一维的数据放入cnn网络进行识别(Different from the traditional image recognition, one-dimensional data into the cnn network to identify)
Desktop
- 利用tensorflow建立以个用于面部表情识别的模型(Using tensorflow to build a model for facial expression recognition)
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)
cnn-示例
- 卷积神经网络的结构模型，可实现对图像进行训练与识别(The structure model of the convolution neural network can realize the training and recognition of the image)
CNN2-数字识别
- 利用C写的一个用卷积神经网络做数字识别程序(Using C to write a convolution neural network to do digital identification procedures)
cnn
- matlab包，卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
数字识别
- python的keras调用theano创建cnn识别minist手写数字(use keras of python to create cnn to recognize digit wrote by hand)
CNN
- 卷积神经网络matlab代码,内附详细解释。可用于图像识别，数据分类。(this is an zip of matlab code for CNN used for data classification or figure recognization.)
CNN手写识别
- 基于Matlab的，用于识别手写的图片里面的内容(Based on Matlab, used to identify the contents of a handwritten picture)
cnn
- 用CNN识别手写数字集，误差率为1.07%(The handwritten numeric set is identified with CNN, the error rate is 1.07%)
CNN
- 卷积神经网络是近年发展起来，并引起广泛重视的一种高效识别方法。20世纪60年代，Hubel和Wiesel在研究猫脑皮层中用于局部敏感和方向选择的神经元时发现其独特的网络结构可以有效地降低反馈神经网络的复杂性，继而提出了卷积神经网络（Convolutional Neural Networks-简称CNN）。现在，CNN已经成为众多科学领域的研究热点之一，特别是在模式分类领域，由于该网络避免了对图像的复杂前期预处理，可以直接输入原始图像，因
CNN(C++)
- 基于;C++ 语言;图像识别;简单模型;图像处理(C++; image; recognition;model;Simple)
cnn
- 基于python tensorflow框架构建的卷积神经网络用来识别图像，附带训练数据集的制作代码。(The convolution neural network based on the python tensorflow fr a mework is used to identify images with the production code of the training data set.)
cnn
- vs的cnn程序，没有调用任何库。有两个卷积层，用minst手写库识别(Vs's CNN program, no library is called. There are two coiling layers that are identified by a MINST handwritten Library)
CNN
- 手写体识别的训练，采用卷积神经网络，附带数据集下载代码(The training of handwritten recognition is based on convolution neural network, and the download from the dataset.)
MNIST
- 用CNN识别MNIST数据集，test集正确率98.3%(Identifying MNIST datasets with CNN)
cnn
- 手写数字识别的简单实现，CNN入门到深入，三个版本供读者使用。(Simple Implementation of Handwritten Number Recognition, Getting Started with CNN)