崔星星
Dose this caffe support Visual Studio 2015/2017, CUDA 9.x, Python 3.5/3.6/3.7? Because now with the upgrade of hardware devices, many have not been updated, I hope the official can solve...
How can I quickly sort files for thousands of video data sets in terms of duration/frames? In the usual way, the length of the video is sorted using the following...
How do I get the frames corresponding to a certain timestamp of a video? I don't see any examples in the examples, do I need to calculate it myself based...
最近做“LSTM”时间序列分类，需要用到“python”类型作为输入，发现layer支持的type共有100个，如下 (known types: AbsVal, Accuracy, Arccos, ArgMax, Axpy, BN, BNLL, BatchContrastiveLoss, BatchNorm, BatchReindex, Bias, CenterLoss, ChannelScale, Concat, ConfidencePenaltyLoss, ContrastiveLoss, Convolution, CorrelationLoss, Cosine, Crop, Data, Deconvolution, Dropout, DummyData, ELU, Eltwise, Embed,...
我配置文件写好路径后，出现如下错误，是cuda9.0不适合呢？ C:\caffe\caffe-windows-ms\windows\thirdparty\Boost\boost/config/compiler/nvcc.hpp(22): fatal error C1017: 无效的整数常量表达式 1> base_data_layer.cu 1>C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V140\BuildCustomizations\CUDA 9.0.targets(707,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" -gencode=arch=compute_60,code=\"sm_60,compute_60\" --use-local-env --cl-version 2015 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio...
In addition to the NLP applications, what about the CV applications? Are there any examples of transformer being used for "object detection", "behaviour recognition" or even "image classification"? It would...
Can't the convex optimization problem be solved by the function that build-in MATLAB? It is best not to have third-party dependencies, but also must have licensing issues
boost中的serialization库非常方便的可以对数据进行序列化保存或者加载，在coost中貌似我没看到类似的特性支持？如果我想使用类似的序列化保存、加载该如何做呢，或者有什么好的建议呢，谢谢！
加入了此篇博客[“卷积神经网络(CNN)反向传播算法”](https://www.cnblogs.com/pinard/p/6494810.html)的MATLAB代码实现，如有必要，麻烦作者可以引用一下[这个link](https://github.com/cuixing158/DeeplearningPractice)。
Hi,@matlab-deep-learning: There is a case study ["Extract 3D Vehicle Information from Recorded Monocular Camera Data for Scenario Generation"](https://ww2.mathworks.cn/help/driving/ug/extract-3d-vehicle-information-from-camera-data.html) in the Automated Toolbox of R2023b that can be used to be...