mulder's it blog

- dataset : cifar100 https://www.cs.toronto.edu/~kriz/cifar.html CIFAR-10 and CIFAR-100 datasets < Back to Alex Krizhevsky's home page The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The CIFAR-10 dataset The CIFAR-10 dataset consists of 60000 www.cs.toronto.edu 작업에 필요한데... 없어서 만듦 idx : ..

ref : https://towardsdatascience.com/no-machine-learning-is-not-just-glorified-statistics-26d3952234e3Regression Over 100 Million Variables — No Problem?Let me also point out the difference between deep nets and traditional statistical models by their scale. Deep neural networks are huge. The VGG-16 ConvNet architecture, for example, has approximately 138 million parameters. How do you think you..

darknet's subdivision https://github.com/pjreddie/darknet/issues/224 yanchao12122 commented on Oct 2, 2017how to set the value of subdivisions?[net] batch=64 subdivisions=8 --------------------------- TheMikeyR commented on Oct 11, 2017 • edited It's how many mini batches you split your batch in. Batch=64 -> loading 64 images for this "iteration". Subdivision=8 -> Split batch into 8 "mini-batche..

opencv 설치가 항상 여러곳에서 문제가 된다...이번에 mac 설치 + anaconda opencv3 install in anaconda : MacOSX Sierra REF : http://stackoverflow.com/questions/41873941/cant-install-opencv3-on-anaconda3-python3-6-on-macos Since you are using a newer version of python3, you would probably have to build opencv from the recipe yourself, which is available at https://github.com/conda-forge/opencv-feedstockAnother option is..