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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 the representational power of pretrained deep networks. For example, you can train a support vector machine (SVM) using |fitcecoc| (Statistics and Machine Learning Toolbox(TM)) on the extracted features.)
Update : 2024-05-17 Size : 372736 Publisher : RockLiu

DL : 0
卷积神经网络实现的参考,借助于英伟达的开源硬件加速器。(Convolutional neural network reference, with open source hardware accelerator in nvidia.)
Update : 2024-05-17 Size : 3942400 Publisher : ensureglitte

python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
Update : 2024-05-17 Size : 29049856 Publisher : 白菜纷纷

DL : 0
Simple CNN sample code()
Update : 2024-05-17 Size : 202752 Publisher : BCFrji_466

盲参考的图像质量评价 SSIM TID2008 TID2013(blind image quality assessment py CNN)
Update : 2024-05-17 Size : 96256 Publisher : WWWDDDN

Keras 示例代码,包括CNN,LSTM,CNN-LSTM等,非常全面。(Keras sample code, including CNN, LSTM, CNN-LSTM, and so on, is very comprehensive.)
Update : 2024-05-17 Size : 570368 Publisher : urmysummer

DL : 0
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.))
Update : 2024-05-17 Size : 8492032 Publisher : zzz95

matlabCNN
DL : 0
%得到卷积层的featuremap的size,卷积层fm的大小 为 上一层大小 - 卷积核大小 + 1(步长为1的情况) %得到卷积层的featuremap的size,卷积层fm的大小 为 上一层大小 - 卷积核大小 + 1(步长为1的情况)(Wang Yuting has a severe muscular dystrophy with only two arms to move about 5 centimeters. But she was determined to be a painter. Because of the physical defects, a picture that the ordinary people can finish in a few days, she has to draw for months, even years. With painting, her income has been able to support herself. In a painting auction a few years ago, she got about 300000 yuan and donated all her income to charity.)
Update : 2024-05-17 Size : 17539072 Publisher : 大侠会写字

DL : 0
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)
Update : 2024-05-17 Size : 64512 Publisher : scutyz

Hi all, I want to work with Minipar parser but the home page: http://webdocs.cs.ualberta.ca/~lindek/minipar/ is dead. Could anyone please share me this file ?
Update : 2024-05-17 Size : 502784 Publisher : linhd13cn1

对网站验证图片进行分类识别,基于python语言,采取机器学习方式(Website verification images for classification and identification)
Update : 2024-05-17 Size : 13862912 Publisher : quan123

用于MNIST数据集,训练卷积神经网络,预测准确率大约为99.3%(Training Convolutional Neural Network on MNIST dataset)
Update : 2024-05-17 Size : 1024 Publisher : MicroChampion

DL : 0
卷积神经网络的M语言实现,包含众多子程序(Convolutional Neural Networ)
Update : 2024-05-17 Size : 4096 Publisher : 棒棒的

As mentioned before, the feature fusion is an efficient step in scene understanding. We proposed to combine between the outputs of CNN algorithm, where the final features can effectively represent the scene images
Update : 2024-05-17 Size : 21504 Publisher : lmcice

We employ the pretrained deep CNN models for VHR images scene classification, where we used VGG-Net as the feature extractor by selecting useful layers in order to get a good representation of the images scene.
Update : 2024-05-17 Size : 3072 Publisher : lmcice

CNN is one of the most successful deep learning methods due to its remarkable performance on ImageNet large-scale visual recognition competition. The success of CNN is due to its capacity to learn hierarchical representation to describe the image scene.
Update : 2024-05-17 Size : 168960 Publisher : lmcice

a hybrid deep convolutional neural network (CNN) for vehicle detection from satellite images. And the research in [13] introduced the stacked autoencoder to extract spatial informative features for hyperspectral images classification.
Update : 2024-05-17 Size : 921600 Publisher : lmcice

使用Python实现的一些简单神经网络算法,实现的神经网络包括BP,CNN,RNN,LSTM等,主要是理解这些神经网络的算法原理,并附有mnist数字识别例子。(neural network,include BP,CNN,RNN,LSTM.)
Update : 2024-05-17 Size : 23211008 Publisher : chqw

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Leaf Recognition using CNN
Update : 2024-05-17 Size : 291840 Publisher : oohoojc

深度学习代码CNN,用VC++ 实现,很有参考价值,神经网络权值参数反向传播实现。(Deep learning code CNN, implemented with VC++, is of great reference value, and neural network weight parameter backpropagation is realized.)
Update : 2024-05-17 Size : 547840 Publisher : lzpgfy
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