搜索资源列表
263469
- 模式提取算法,它把神经网络的学习过程看作,最优化问题的随机并行算法,()
Two-Layer-CNN-on-MNIST-master
- 卷积神经网络的matlab实现，同时可以作为图像处理使用，用于csi室内定位(Convolution neural network matlab implementation, can also be used as image processing for csi indoor positioning)
drn
- dilated network用于图像的语义分割。(an example to dilated netqork)
OYUVNP5
- Poission Image Editing 算法 最新的图像粘帖算法, 广泛用于图形学和图像处理,()
DFLSGR59
- 遗传算法优化小波神经网络的源程序 1 构造的非线性函数 位于nninit_test m 2 直接用WNN逼近非线性 Wnn_test()
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
tuxiang
- 绘制图像的Matlab文件，只需导入系统中，即可运行，亲测可用(Drawing the Matlab file of the image)
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.))
number_recognition_mlp1
- 这个是做图像识别的数据包，主要是做BP神经网络对手写数字的识别(This is a data packet for image recognition)
figure
- 神经网络模式识别分支的实际应用，案例的详细的代码(The practical application of the neural network pattern recognition branch, the detailed code of the case)
BPimage
- 本程序是自己初步设计的BP拟合图像曲面的训练程序，还有诸多不完善之处，请批评指正(This procedure is their own preliminary design of the BP fitting image surface training procedures, there are many imperfections, please criticism correct)
MATLAB 神经网络用于数字识别源程序
- 使用matlab神经网络工具包进行图像数字识别进行(image digital recognition using matlab neural network toolkit)
FBAINT
- 人工智能中,经典的基于小波变换的图像处理和图像去噪的解决办法,可下载后观摩使用()
alpu761
- 神经网络实例,可以改造成自己的东西,算法不错,无版权()
euuation
- BP网络的应用： BP神经网络用于分类与回归, 使用matlab打开()
cnn
- 基于python tensorflow框架构建的卷积神经网络用来识别图像，附带训练数据集的制作代码。(The convolution neural network based on the python tensorflow framework is used to identify images with the production code of the training data set.)
unet
- 为图像分割任务中Unet网络结构，可以自行根据需求进行修改(this is the network of Unet)
caffe-201701
- 在linux平台上运用caffe使用神经网络算法对图像进行分类，预测。在计算机视觉中（机器人视觉中）占主导作用。(On the Linux platform, Caffe is used to classify and predict the image using neural network algorithm. It plays a dominant role in computer vision (robot vision).)
two_dimen_entropy
- 利用脉冲耦合神经网络进行图像分割并求其二维熵(Image segmentation based on pulse coupled neural network and its two-dimensional entropy)
67245342
- 另一个二维的FDTD仿真程序,仿真图像很好,很有帮助,()