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adaptive_arithmetic
- 自适应算术编码的实现，包括编码器和解码器。在vc++.net 2003下开发。-adaptive arithmetic coding implementation, including the encoder and decoder. In vc. Net 2003 under development.
AdaptiveHuffman
- 自适应huffman编码，即在编/解码过程中根据已编/解码数据来计算各个码字的概率，并动态调整huffman树。包括编码器和解码器。 在vc++.net 2003下开发-adaptive Huffman coding, that is the encoding / decoding process based encoding / decoding data to calculate various code word probability, Dynamic adjustment and
Adaptive_arithmetic_code
- 自适应算术编码算法，包含有编码器和解码器的实现，共从事图像编码压缩的朋友参考。-adaptive arithmetic coding algorithm, includes encoder and decoder implementation. engaged in a total image coding reference to a friend.
PredictionLinear
- 一种代码激励线性预测编码器，其特征在于：具有声道信息生成器、声音功率量化器、自适应码表-A code excited linear predictive coding device, characterized in that: a channel information generator, the sound power quantizer, adaptive code table
deep-learn-Autoencoder_Code
- 深度学习的自编码器MATLAB程序。需根据文档内说明进行相关文件下载并配置-Depth of learning from the encoder MATLAB. To be based on the relevant documents within a document instructions to download and configure
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
starter
- 基于深度学习的稀疏自编码器，对图像特征进行提取，然后分类-Extraction the encoder based on sparse feature depth study
sparseae
- 用matlab代码实现的稀疏自编码器，通过可视化步骤，可以看到稀疏编码提取出来的她特征。- sparse autoencoder written by matlab, through visualization step, you can find the features extracted by sparse coding .
Sparse-Autoencoder
- 神经网络稀疏自编码器的实现；从给定的很多张自然图片中截取出大小为8*8的小patches图片共10000张，现在需要用sparse autoencoder的方法训练出一个隐含层网络所学习到的特征。-Sparse neural networks since implementation of the encoder interception of a size of 8* 8 picture small patches given a lot of sheets natural picture
stacked-autoencoder
- 基于两层的层叠自编码的深度学习模型，前两层用于特征提取，再加一个Softmax分类器用于分类-Two stacked the depth of learning coding model based on the first two levels for feature extraction, coupled with a classifier for classifying Softmax
Autoencoders
- 深度学习中有关自编码器的一些代码，需要安装Keras-some autoencoder models wrote in python
train_lowsae
- 以图像块作为输入信息训练自编码器的matlab程序-An matlab program for training an encoder an image block as input information
project
- 数据挖掘，推荐系统，堆叠降噪自编码器，逻辑回归(Data mining, recommender systems, stack noise reduction, self coder, logic regression)
栈式自编码器相关程序
- 使用栈式自编码器实现光学图像的自动识别，程序完整，程序中已经包括训练和测试使用的样本，程序运行结果良好，适合进行机器学习的同行进行学习和研究。(Use the stack automatic recognition, optical image encoder to achieve self program integrity, training and testing samples have been used including program, program operation res
NNRec-master
- 基于自编码器的协同推荐算法，使用python实现(Collaborative recommendation algorithm based on self encoder, using Python implementation)
代码
- 主要实现了使用神经网络实现(7,4)自编码器(Using neural network implementation (7,4) autoencoder)
SparseAutoencoder-master
- 自动编码器是一种数据的压缩算法，其中数据的压缩和解压缩函数是数据相关的、有损的、从样本中自动学习的。在大部分提到自动编码器的场合，压缩和解压缩的函数是通过神经网络实现的。(An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is
HW7-1
- 自编码器显示minst数据集中重构误差最大的十幅图片(Self-encoder shows ten images with the largest reconstruction error in the minst data set)
auto-encoder-reduce
- keras实现的自编码器,以及卷积自编码器，其中的sasi.pkl是从一张高光谱图像中截取的某些部分(autoencoder based on keras)
CAE
- 卷积自编码器，深度学习中的CAE，类似CNN，是深度学习的基本框架之一(Convolution self encoder, CAE in depth learning, similar to CNN, is one of the basic frameworks for deep learning.)