搜索资源列表
kNN
- 机器学习KNN算法的实现和测试,手写数字识别系统的测试代码-Implementation and test of machine learning KNN algorithm, handwritten numeral recognition system test code implementation and testing of machine learning KNN algorithm, handwritten numeral recognition system test code
neuralnetwork-sample
- 由java编写的,具有gui界面的,手写数字识别神经网络示例(Written by Java, with GUI interface, handwritten numeral recognition neural network examples)
train-labels-idx1-ubyte
- 用于手写数字识别的训练数据(标签) 数据格式:前32位为2049,再32位为数据数量,之后每一位都是标签值(Training data (tags) for handwritten digit recognition)
t10k-labels-idx1-ubyte
- 用于手写数字识别的预测数据(标签) 数据格式:前32位为2049,再32位为数据数量,之后每一位都是标签值(Predictive data (tags) for handwritten numeral recognition)
train-images-idx3-ubyte
- 用于手写数字识别的训练数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Training data (pictures) for handwritten digit recognition)
t10k-images-idx3-ubyte
- 用于手写数字识别的预测数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Predictive data (pictures) for handwritten numeral recognition)
手写数字识别
- 一个练习机器学习的算法,解决手写数字识别的算法(An algorithm that exercises machine learning to solve the handwritten numeral recognition algorithm)
mnist.pkl
- mnist数据集,用于手写数字识别的数据集,机器学习入门必备(mnist data,original data in http://yann.lecun.com/exdb/mnist/)
mnist
- 手写数字识别。通过各种数字图片进行机器识别,属于机器学习入门级别编程。(Handwritten digit recognition. The machine is recognized by various digital pictures, which belongs to the introduction level programming of machine learning.)
KNN
- 利用KNN算法识别手写数字,zip内包含训练数据集和测试数据集(This is a handwriting number recognition demo using kNN algorithm)