搜索资源列表
input_data
- 机器学习领域中常用的数据集MNIST的下载代码-Commonly used in the field of machine learning dataset MNIST download code
mnist
- this code is about mrs method
Softmax_exercise
- Softmax用于多分类问题，本例是将MNIST手写数字数据库中的数据0-9十个数字进行分类，其中训练样本有6万个，测试样本有1万个数字是0~9-Softmax for multi classification problems, the present case is the handwritten data MNIST digital 0-9, classification, training samples which have 60,000, there are 10,000 test
bpback
- 神经网络比较基础的算法，实现梯度下降和反向传播，以及L2规范化、交叉熵代价函数的引入，卷积神经网络 该算法用于mnist数据测试，有详细中文注释-Neural network based on the comparison algorithm, gradient descent and back-propagation, and L2 standardization introduced cross entropy cost function, convolution neural netw
tiny-dnn-master
- cnn卷积神经网络实现mnist的手写体识别程序-CNN convolution neural network to realize mnist handwritten recognition program
NN-Back-Propagation-Generalized
- Solving XOR-problem and consecutively try MNIST-dataset with fundamental level of understanding on neural networks. Recommendable for beginners ( As I am :) ) And it s fully documented.
deep-belief-network
- 训练一个深度网络，并应用于MNIST库上进行字体识别-Training a deep autoencoder or a classifier on MNIST digits
CNN
- 使用CNN卷积神经网络来训练MNIST数据集-CNN convolution using neural network training data set MNIST
MLP
- 使用MLP多层神经网络来训练MNIST数据集-Use MLP multi-layer neural network training data set MNIST
softmax
- MATLAB实现softmax,测试类主要采用mnist-implement a simple softmax in matlab
MNIST_classify
- 使用决策树，支持向量机以及人工神经网络完成对MNIST手写数字体的分类。-Using a decision tree, support vector machines and artificial neural network to classify the number of MNIST handwritten font.
MNIST(tensorflow)
- 基于tensorflow的手写识别，训练后可以识别手写数字-Based on tensorflow handwriting recognition, training can identify handwritten numbers
medrankDB
- 基于mnist数据库，对其用C++实现b+树索引和medrank搜索。data需要到mnist网站下下载-Based mnist , search for them using C++ achieve b+ tree indexes and medrank. data need to download website under mnist
caffe-master
- caffe深度学习框架 内置mnist、cifair-10数据集-caffe deep learning framework
readMNIST
- 用ELM实现手写数字的识别，快速，用MNIST数据库(Handwritten numbers recognition realized by ELM)
NN
- 实现的一个用于手写数字识别的框架，可以设置神经网络结构，用的数据是mnist的(Implementation of a handwritten numeral recognition framework, you can set the neural network structure, the training data is MNIST)
Two-Layer-CNN-on-MNIST-master
- CNN 训练手写字,Matlab 代码。(CNN manual character)
HandWriteOCR
- 手写汉字识别程序，包含训练和检测两部分，基于mnist库做训练和测试(Handwritten Chinese character recognition program, including training and testing of two parts)
mnist
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。(Machine learning (Machine Learning, ML) is a multidisciplinary interdisciplinary field, involving many disciplines, such as p
CNN_mnist
- 使用CNN网络对mnist数据集进行训练(Use the CNN network to train MNIST data sets)