搜索资源列表
kmeans_demo
- 关于CIFAR的K-means特征学习算法-K-means feature learning on CIFAR
CUDA-CNN-master
- CNN cuda的加速。 start-of-art结果的流行的数据集 1。测试mnist并获得99.76 ,投票后(99.82 )(最好的99.79 ) 2。测试cifar-10并获得81.42 最好(90 ) 3。测试cifar - 100和51.13 (最好的65 )-CNN accelerated by cuda. The start-of-art result s of popular datasets 1. Test on mnist and get 99.76
CNN_tf_demo
- 这是一段卷积神经网络水水水水水水水水水水水水水(We summarize hyperparameters used for the ImageNet model in Table 1 and for the CIFAR-10 model in Table 2)
code
- 不同的网络结构解决cifar-100图像识别(Different network structures to solve cifar-100 image recognition)
cifar-10-cnn-master
- 经典数据集分类,利用卷积神经网络分类，利用python语言编写(classic picture classification)
cifar-vgg-master图像识别
- cifar-vgg-master图像识别，基于python平台，很好用(cifar-vgg-master image recognition)