搜索资源列表
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)
neural-networks-and-deep-learning-master
- 神经网络与深度学习相关代码 mnist数据集(neural-netword and deep-learning)
mnist
- 运行lenet的model进行深度学习计算(Depth learning calculation of model running lenet)
Logistic Regression
- Logistic Regression - a Classification method using the mnist DB, with sigmoid function and gradient ascent for optimization
lenet_test
- 包含mnist数据集的lenet例子,快速训练部分数据,达到85%的准确率(A lenet example that contains the MNIST dataset to quickly train part of the data to reach a 85% accuracy rate)
fisher
- 利用fisher方法实现手写体数字多分类识别，采用mnist数据集(simple program using fisher)
least_square
- 利用最小二乘法实现手写体数字识别，采用mnist数据集(simple program using least-square)
keras-dcgan
- keras平台下dcgan源码，包含配置文件，py文件，可直接运行训练网络，数据集为mnist手写数据集(Dcgan source code under the keras platform)
chinese_test
- 手写汉字识别，数据集训练，MNIST，Deep Convolutional Network识别手写汉字(Handwritten Chinese character recognition, data set training, MNIST, Deep Convolutional Network)
LeNet
- tensorflow实现手写体识别（包含mnist数据集）(Handwritten recognition by tensorflow)
MINIST
- mnist库上 应用DBN网络 DBN使用RBM结构，半监督网络，逐层训练(Application on the DBN network)
Lenet
- 经典五层卷积神经网络，应用在mnist库上(The classical five layer convolution neural network application in the MNIST database)
5-4 tensorboard visualization
- tensorflow手写数字识别学习，根据样本进行计算(learn TensorFlow with mnist)
stacking
- kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
nn_code
- 使用Python实现的一些简单神经网络算法，实现的神经网络包括BP,CNN,RNN,LSTM等，主要是理解这些神经网络的算法原理，并附有mnist数字识别例子。(neural network,include BP,CNN,RNN,LSTM.)
neural-networks
- 神经网络和深度学习的代码 ，内含有一个mnist手写字识别的源码(Code for neural networks and deep learning, containing source code identified by a MNIST handwritten word)
test1
- 神经网络，深度学习上非常经典的例子-RNN循环神经网络，使用mnist数据集，代码简单易懂，学习方便(Neural network, deep learning is a very classic example -RNN circular neural network, the use of mnist data sets, the code is easy to understand, easy to learn)
cnn_mnist
- CNN over Mnist Dataset
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.)