搜索资源列表
dealpicture
- 利用神经网络，根据颜色条码，分析待检测图像深度值-Using neural networks, according to the color bar code, the value of the depth image to be detected
Deep-Learning
- 实现常见的深度神经网络的学习过程，适合初学者学习使用，也可以进一步开发使用，具有较高的学习价值和学术价值。-The depth to achieve common neural network learning process, suitable for beginners to learn to use, can be further developed to use, with high learning and academic values.
an-introduction-neural-nets
- 神经网络的文章，是学习模式识别和深度学习的基础-the papers about neural networks
rcnn
- RCNN,Region Based CNN,即基于区域的卷积神经网络代码，在许多数据集上刷新了识别记录，这是其实现代码，研究深度学习的同学可以下载，比较有帮助。-RCNN, Region Based CNN, namely the convolution neural network code based on the region in many data sets refresh identification record, this is the realization of the co
MYCNN
- 基于CNN的手写文本识别，卷积神经网络模型，并受到深度学习中预训练方式的启发，提出一种类别累加的训练方式，采用这种类别累加方式进行卷积神经网络模型的训练-Handwritten text recognition based on CNN neural network model, convolution, and inspired by the pre training in depth study, put forward a kind of category cumulative train
CNN-CODE.docx
- 一个用MATLAB实现的CNN神经网络深度学习工具包的源代码-CNN code for MATLAB
DeepLearnToolbox-master
- 深度学习工具包，包含神经网络，卷积神经网络等众多深度学习工具的MATLAB源码-MATLAB source deep learning kits, including neural networks, neural networks, and many other convolution depth learning tool
DBN
- 深度信念网络 (Deep Belief Network, DBN) 由 Geoffrey Hinton 在 2006 年提出。它是一种生成模型，通过训练其神经元间的权重，我们可以让整个神经网络按照最大概率来生成训练数据。我们不仅可以使用 DBN 识别特征、分类数据，还可以用它来生成数据。下面的图片展示的是用 DBN 识别手写数字： -Depth belief networks (Deep Belief Network, DBN) proposed by the Geoffrey Hinton i
Test-code-for-SRCNN
- 深度学习，超分辨卷积神经网络，获取测试数据的MATLAB代码-Depth study, the super-resolution convolution neural network, access to test data MATLAB code
FractalNet
- 2016年6月刚刚出来的运用分形网络的深度神经网络的牛文，值得学习，欢迎大家交流。-June 2016 Niu just out of the fractal network of deep neural networks, it is worth learning, we welcome the exchange.
SRCNN
- 深度卷积神经网络超分辨，来自于ECCV2014一篇文章的代码，代码好用-Depth of the convolutional neural network super resolution, the ECCV2014 an article of the code, code easy to use
caffe-regression-master
- 人脸特征点定位，将深度学习运用到人脸对齐中，卷积神经网络 -Facial features localization, depth learning to use face alignment, the convolutional neural network
cnn
- 用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！-For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners!
drcn
- 用递归的卷积神经网络方法实现图像的超分辨率重建（深度学习）-Deeply-Recursive Convolutional Network for Image Super-Resolution
Convolutional-Neural-Network-master
- matlab，深度学习工具箱，经典的卷积神经网络，共有两层卷积层。输入为28*28*1的图片(Matlab, the deep learning toolbox, the classic convolution neural network, has two volumes of layers. A picture entered into 28*28*1)
FCRN-DepthPrediction-MATLAB
- 使用matlab搭建神经网络，从单目图像中估计深度值(Using matlab to build a neural network to estimate depth from monocular images)
图像扭曲变换
- 图像扭曲变换，用于深度神经网络训练时样本扩增