搜索资源列表
train-images-idx3-ubyte
- MNIST数据集中图像数据文件， 60000个训练集-The MNIST dataset image data files, 60000 training set
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)
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
K-means
- 在里面的的是一些关于k-means的东西，用的mnist数据(I try the Mnits data and use K-means to doing the clustering)
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)
SAE
- 使用TensorFlow实现稀疏自编码神经网络，采用数据mnist(Using TensorFlow to realize sparse atuoencoder neural network, using data MNIST)
vae
- 变分自编码结构，用一个mnist数据。。。。。。(Using TensorFlow to realize Variational Auto-Encoder neural network, using data MNIST)
纯C-CNN
- 纯C深度学习库，里面包含MNIST手写数字识别数据集，编译就能训练和预测(Pure C depth learning library, which contains MNIST handwritten digital recognition data sets, compiling can be trained and predicted.)
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)
NN_labview
- 三层神经网络的Labview,没有使用任何模块，BP误差传递用矩阵实现，并含有MNIST数据集。(NN from Labview, including labview file and MNIST data file.)
MNIST_data
- MNIST数据集是机器学习领域中非常经典的一个数据集，由60000个训练样本和10000个测试样本组成，每个样本都是一张28 * 28像素的灰度手写数字图片。(The MNIST data set is a very classic data set in the field of machine learning. It consists of 60,000 training samples and 10,000 test samples. Each sample is a 28 * 28 p