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Inception-BN full ImageNet model

2019-09-11 | |  98 |   0 |   0

Inception-v2 model trained on full ImageNet dataset with 14,197,087 images in 21,841 classes.

The model was converted from the MXNet InceptionBN-21k network trained by Mu Li. Details and evaluation results can be found at https://github.com/dmlc/mxnet-model-gallery/blob/master/imagenet-21k-inception.md.

<br/>@inproceedings{Ioffe15:ArXiv,<br/> author = {Sergey Ioffe and Christian Szegedy},<br/> booktitle = {arXiv:1502.03167},<br/> title = {Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift},<br/> year = {2015}<br/>}<br/>

[GitHub repo]
[Paper]
[Original MXNet network]

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