搜索资源列表
深度学习模型（卷积神经网络，深信度网络和堆栈稀疏自动编码器）
- 深度学习网络，包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等
cnn-示例
- 卷积神经网络的结构模型，可实现对图像进行训练与识别(The structure model of the convolution neural network can realize the training and recognition of the image)
ids-kdd99
- 基于Tensorflow用CNN（卷积神经网络）处理kdd99数据集，代码包括预处理代码和分类代码，准确率99.6%以上，并且快速收敛至最优值。(Based on Tensorflow (convolutional neural network) processing KDD99 data set based on CNN, the code includes preprocessing code and classification code, the accuracy rate is mor
xian
- 数字信号处理实验线性卷积MATLAB程序(signal linear convolution)
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)
FeatureExtractionUsingAlexNetExample
- 本示例展示了怎样从一个预处理的卷积神经网络中提取特征，并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use
caffe
- 卷积神经网络的一种开源代码，可以对图像数据库自动提取特征(An open source code of the convolution neural network that automatically extracts features of an image database. (one open source code of CNN which can extract features other image dataset.))
image
- cifar 卷积神经网络 通过cnn识别图片，对神经网络进行训练，在识别cifar库(convolutional neural network)
01-第四课第一周编程作业
- 吴恩达人工智能课程，第四课 卷积神经网络第一周的课后练习题以及答案(The Andrew Ng artificial intelligence course, the fourth lesson of the convolution neural network after class exercises and the answer)
02-第四课第二周编程作业
- 吴恩达人工智能课程，第四课 卷积神经网络第二周的课后练习题以及答案(The Wu Enda artificial intelligence course, the fourth lesson of the convolution neural network after class exercises and the answer)
03-第四课第三周编程作业
- 吴恩达人工智能课程，第四课 卷积神经网络第三周的课后练习题以及答案(The Wu Enda artificial intelligence course, the fourth lesson of the convolution neural network after class exercises and the answer)
04-第四课第四周编程作业
- 吴恩达人工智能课程，第四课 卷积神经网络第四周的课后练习题以及答案(The Wu Enda artificial intelligence course, the fourth lesson of the convolution neural network after class exercises and the answer)
testandtrain
- 利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
deconvolution
- 时域解卷积的有关算法，med,mckd meda ,omeda,momeda等(The relevant algorithms for time domain deconvolution, Med, MCKD MEDA, omeda, momeda and so on)
cnn
- 卷积神经网络的M语言实现，包含众多子程序(Convolutional Neural Networ)
卷积算法与数字滤波器
- matlab代码：卷积算法，数字滤波器，矩形窗，凯泽窗(Matlab code: convolution algorithm, digital filter)
multi-layer-convnet-master
- 深度学习中的卷积神经网络程c/c++代码简单实现(deep learning convnet network)
11
- 计算多组信号的卷积，并画图，采用傅里叶变换分析信号的幅度谱和角度谱，采用matlab 编写(The convolution of multiple sets of signals was calculated and plotted. The amplitude and angle spectra of the signals were analyzed by Fourier transform. Matlab was used to write the graph.)
writingMaster
- 实验室项目。识别用户签名和汉字草书，效果较好。基于卷积神经网络实现。框架是tensorflow。原创代码初次公开。(Laboratory project. The recognition of user signature and Chinese scr ipt is good. Based on convolution neural network implementation. The framework is tensorflow. Original code for the first
test_CNN
- 卷积神经网络，简单的对cifar数据集进行分类的代码(convolutional neural network)