Darknet: Open Source Neural Networks in C |
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Darknet: Open Source Neural Networks in C Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here: Installing DarknetDarknet is easy to install and run. This post will guide you through it. YOLO: Real-Time Object DetectionYou only look once (YOLO) is a state-of-the-art, real-time object detection system. ImageNet ClassificationClassify images with popular models like ResNet and ResNeXt. NightmareUse Darknet's black magic to conjure ghosts, ghouls, and wild badgermoles. But be warned, ye who enter here: no one is safe in the land of nightmares. RNNs in DarknetRecurrent neural networks are all the rage for time-series data and NLP. Learn how to use them in Darknet! DarkGo: Go in DarknetPlay Go using a policy network trained with Darknet Tiny DarknetImage classification made tiny. Train a Classifier on CIFAR-10Learn how to train a classifier from scratch in Darknet. Hardware Guide: Neural Networks on GPUs (Updated 2016-1-30)I've had a number of people ask me what hardware I would recommend for training neural networks for vision applications. Here are some of my thoughts. CiteIf you use Darknet in your research please cite it: @misc{darknet13, author = {Joseph Redmon}, title = {Darknet: Open Source Neural Networks in C}, howpublished = {\url{http://pjreddie.com/darknet/}}, year = {2013--2016} } ContactFor questions or help with Darknet please contact the Darknet mailing list. I will respond to questions as soon as possible! |
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