搜索资源列表
deeplearning
- 一个深度学习的python例程，该程序可以通过学习大量手写数字的数据提取出各手写数字的特征并对其进行识别。本文件中包含运行的主程序和结果，以及运行程序所需要的python库。- A depth learning python routines, the program can learn a lot of handwritten digital data extracted handwritten digits of each feature and gain recognition. Th
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)
svm手写数字识别
- Python语言实现的SVM手写数字识别(SVM handwritten numeral recognition based on Python language)
KNN
- 分类算法数字识别，KNN算法， 调用代码 import lyqKnn from numpy import * lyqKnn.handwritingClassTest()(Classification algorithm digital 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)
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)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像，三层的误差反馈神经网络，可输出准确率，数据集为60000条数据，每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
支持向量机（ML in action）整理
- Python实现支持向量机的算法，拟合和分类，包括0-9数字识别(Python implements the algorithm, fitting and classification of support vector machines, including 0-9 digital recognition)
figure_recognition
- 基于python3的利用神经网络进行的手写数字识别程序。(A handwritten numeric recognition program based on python3 based on Neural Network.)
KNN python
- 关于K近邻算法的简单实现和一些例子，其中包括手写数字的识别(Simple implementation of K nearest neighbor algorithm and some examples)