搜索资源列表
caffe-windows
- caffe在windows下的版本，可直接在windows环境下结合cuda搭建并行的卷积神经网络框架-caffe windows source code
caffe-for-windows-with-cudnn
- caffe for windows,带第三方库和cuDNN.-the code of caffe for windows with dependences and cuDNN.
caffe-windows-(1)
- caffe for windows. Deep learning framework can be trained for any purpose.
caffe-windows-master
- 深度学习caffe架构，适用于windows版本的深度学习网络架构，卷积神经网络-Depth study caffe architecture for windows version depth learning network architecture, convolution neural network
caffe-windows
- caffe的windows源码，使用方便可以自动下载所需代码以及配置环境-caffe the windows source, easy to use and can automatically download the required code and configuration environment
caffe-windows-master
- Windows下的caffe源码，转载自github-caffe source code under Windows, reprinted github
_caffe
- windows下安装caffe，python接口-caffe for python
caffe-windows
- caffe编程，请认真书写上传资料的详细功能、包含内容说明(至少要20个字)。尽量不要让站长把时间都花费在为您修正说明上。压缩包解压时不能有密码-caffe development kit ,good for everyone here ,thank for you
mean
- caffe-windows 训练模型所需的mean文件(The mean file required for the caffe-windows training model)
lenet_iter_10000
- caffe-windows mnist 训得到的模型，可用于手写字体识别(Caffe-windows MNIST training model can be used for handwritten font recognition)
mnist_train_leveldb
- caffe-windows mnist 训练用的数据集，此数据集用于mnist训练模型(Caffe-windows MNIST training data set, this data set is used for MNIST training model)
mnist_test_leveldb
- caffe-windows mnist 测试用数据集，此数据集用于mnist训练时的测试数据集(Data sets for caffe-windows MNIST tests, which are used for test data sets when MNIST is trained)
faster_rcnn
- windows下faster_RCNN 方法用训练好的model进行目标检测的测试工程(under OS Windows , use the faster_RCNN method with a trained model for the target test of the test project)
caffe-windows-ms
- 编译caffe框架，可拓展python接口和matlab接口以及vc接口(compile cafe structure)
caffe-master
- windows下可以使用的caffe框架，错误较少可以快速安装使用(The caffe framework that can be used under windows, fewer errors can be quickly installed and used)
caffe-windows
- https://github.com/BVLC/caffe/tree/windows 官方caffe-windows源码