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cifar10inspect
- 采用卷积神经网络在cifar-10图像库上进行的分类训练。效果非常好。-Convolution using trained neural network classification on cifar-10' s image library. The effect is very good.
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
matconvnet-1.0-beta19.tar
- matlab实现CNN卷积神经网络，进行图像分类。(We can realize neural network with matlab, which will complete the classification of the image.)
CNN_matlab
- 卷积神经网络（CNN）是一种深度学习方法，它可以对图像进行识别和特征分类等优点。(The convolution neural network (CNN) is a deep learning method which can identify and characterize the image.)
CIFAR10
- 在CIFAR-10数据集上使用卷积神经网络进行图像分类(Image classification using convolution neural network on CIFAR-10 dataset)
fenlei
- 利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外，还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from N
卷积神经网络CNN进行图像分类
- 基于卷积神经网络的图像识别，应用于MATLAB(Image Recognition Based on Convolutional Upgrading Network)
DnCNN-master
- 卷积神经网络进行图像去噪，比较经典的一篇文章代码。(The convolutional neural network performs image denoising and compares the classic article code.)