搜索资源列表
mnist_uint8
- CNN卷积神经网络中mnist-uint8(deepLearnToolbox-master)
mnistDemo.py
- 实现tensorflow的mnist实现(The file use tensorflow implement mnist)
MNIST-PCA
- 使用PCA算法分析MNIST 手写字符训练样本。 结果分别生成以2、5、10个PCA主成分的重构图像以及10个主成分特征向量的对应图像。(Implement PCA algorithm on MNIST dataset and calculate the class PCA on each digit separately.)
test
- tensorflow测试 计算mnist识别准确率 以及计算时间(tensorflow test Calculate the MNIST recognition accuracy and calculation time)
MNIST-cnn-master
- mnistslk aslkf ls msfhsb45w w w wf szzcz ces ef sfsfs
cnn
- 卷积神经网络(CNN),TensorFlow框架下运行,基于MNIST手写体数据集,可直接运行(Convolutional Neural Network (CNN), run under TensorFlow framework, can run directly based on MNIST handwritten dataset)
mnist_loader
- 是一个minst数据集的读取脚本。运行此脚本可以自动读取mnist数据集(mnist_loader is a loader of mnist dataset!)
mnist_data
- 介绍mnist数据,可以了解该数据,用于具体的训练(introduce mnist data)
code
- 基于python的mnist数据集的读取,以及转换为csv形式(Python based MNIST data set read, and converted to CSV form)
MNIST_image ?????
- make image from mnist data
MNIST
- mnist手写体识别,使用tensorflow编写(mnist hand-writing recognition using tensorflow)
decode_mnist
- 非常简短的mnist文件解析程序,两个函数分别解析image和label两种文件,返回为numpy的array类型,供opencv进一步处理及显示(A very short MNIST file parser. The two functions parse two files of image and label respectively, and return to the array type of numpy for OpenCV to further process and displ
LeNet5MNIST
- 使用TensorFlow处理MNIST数据,帮助更好的理解和使用TensorFlow(Using TensorFlow to process MNIST data to help better understand and use TensorFlow)
keras_mnist_test
- hello Word of keras ,第一个成功实现的卷积神经网络,下载了mnist数据集,并decode,,然后,为了加快速度,训练其中的一部分数据,并用predict测试,ok,2min内出结果.(网上其它程序试过,训练太久,一晚上都没训练出结果,于是自己动手设计了这个小程序) 环境:python3.6,keras2.1,PC i5(很破的电脑)(Hello Word of keras, the first successful convolution neural network,
bpnn
- 用Python3实现BP神经网络对MNIST数字手写体识别,下载就能用(Using Python3 to implement BP neural network for MNIST digital handwriting recognition, download can be used)
MNIST_CNN
- 用于MNIST数据集,训练卷积神经网络,预测准确率大约为99.3%(Training Convolutional Neural Network on MNIST dataset)
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/)
minst_cnn
- CNN MNIST (include mnidt dataset)
mnist_test_opencv
- 利用opencv的ML-SVM,进行·mnist数据集的训练分类。 同时包含该数据集的读取(use opencv's ML-SVM to carry out training classification of MNIST dataset. Including the reading of the data set)
code(BP_to_MNIST)
- 使用BP神经网络实现手写字符库MNIST的识别。(The recognition of handwritten character library MNIST is realized by using BP neural network.)