bebekifis/fast-rcnn
Fast R-CNN
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
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Fast R-CNN
Caffe fork that supports Fast R-CNN
Deep Learning GPU Training System
R-CNN: Regions with Convolutional Neural Network Features