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- 利用神经网络算法识别手写体文字的工程,工程的例子图像为MNIST DATABASE数据库中的图像-Use of neural network algorithm handwritten text recognition works, examples of images in the database image MNIST DATABASE
MNISTimages1
- 给出MNIST中标准图像,集成在10张图像中,对对象有大致的认识-mnist images,you can download to read them.
THE-MNIST-DATABASE
- 斯坦福大学的手写字符图像库,方便大家免于读写idx1-ubyte和idx3-ubyte文件。数据包括训练图像60000幅,测试图像10000幅,图像大小为20*20;以及存储图像及其对应类别的xml文件,并写好了opencv读写方法的文档。-THE MNIST DATABASE of handwritten digits.It includes 60000 training images and 10000 testing image.And it contains the xml files
myBPMNIST
- 采用典型的BP算法实现了有导师学习下的神经网络,采用输入层、隐含层和输出层的三层结构,实现了BP算法。并用此算法实现了基于MNIST的数字识别,采用7000个样本做训练,自洽检验正确率达到了99.79%。
mnist
- mnist手写体数据库,适合用于做手写数字方面的实验-mnist handwritten database suitable for doing experimental aspects of handwritten digits
mnist-sphog.tar
- svm for mnist. matlab and c codes
mnist库
- 手写数字识别库 手写数字识别库 手写数字识别库
mnist.pkl
- mnist数据集,手写体识别,可以应用于深度学习的测试数据-mnist dataset, used for handwriting recognize
Mnist
- mnist在MATLAB中的调用。直接加载.mat文件就可以。-mnist call in MATLAB. Files can be loaded directly .mat.
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)
code
- 使用HLS实现的能进行手写识别的CNN网络,使用的是MNIST数据集(Realize CNN network using HLS tool)
lenet_iter_10000
- caffe-windows mnist 训得到的模型,可用于手写字体识别(Caffe-windows MNIST training model can be used for handwritten font recognition)
mnist_train_leveldb
- caffe-windows mnist 训练用的数据集,此数据集用于mnist训练模型(Caffe-windows MNIST training data set, this data set is used for MNIST training model)
mnist_test_leveldb
- caffe-windows mnist 测试用数据集,此数据集用于mnist训练时的测试数据集(Data sets for caffe-windows MNIST tests, which are used for test data sets when MNIST is trained)
visulize
- caffe-window matlab 接口训练mnist后权重、特征可视化(Caffe-window Matlab interface training MNIST.M file, MATLAB platform training MNIST model)
codecnnMNIST
- 用cnn卷积神经网络实现对mnist手写库的识别(mnist classfication with convolution neural network)
CNN_MNIST
- Tensorflow实现基于MNIST数据集的卷积神经网络(Tensorflow implementation of convolutional neural networks based on MNIST data)
BP_mnist
- BP网络实现手写字体识别。压缩文件包含mnist数据集,直接在pycharm运行BPNetwork.py文件,输出测试集识别结果和测试精度。(Handwritten recognition based on BP network. The compressed file contains the MNIST data set, runs the BPNetwork.py file directly in the pycharm, outputs the test set, identifies
mnist2pic
- 将mnist数据集.idx3-ubyte文件转换为.png文件,将转换后的图片自动保存到'picture'文件夹中,并且按照手写字体的数字分别放在对应“0-9”命名子文件夹中。(Convert the MNIST data set.Idx3-ubyte file to the.Png file, automatically save the converted image to the'PICTURE'folder, and place the number in the correspondi