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开源软件名称(OpenSource Name):lim0606/caffe-googlenet-bn开源软件地址(OpenSource Url):https://github.com/lim0606/caffe-googlenet-bn开源编程语言(OpenSource Language):Shell 100.0%开源软件介绍(OpenSource Introduction):caffe-googlenet-bnThis model is a re-implementation of Batch Normalization publication, and the model is trained with a customized caffe; however, the modifications are minor. Thus, you can run this with the currently available official caffe version, including cudnn v4 support and multigpu support. The network definition and solver prototxt files are modified from https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet Notes:
The uploaded caffemodel is the snapshot of 1,200,000 iteration (30 epochs) using solver_stepsize_6400.prototxt The uploaded model achieves a top-1 accuracy 72.05% (27.95% error) and a top-5 accuracy 90.87% (9.13% error) on the validation set, using a single center crop. Thank John Lee for helping me training this model. Tips for performance
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References[1] http://arxiv.org/abs/1409.4842 [2] http://arxiv.org/abs/1502.03167 LicenseThis model is released for unrestricted use. |
2023-10-27
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