name: Network in Network CIFAR10 Model
caffemodel: cifar10_nin.caffemodel
caffemodel_url: https://www.dropbox.com/s/blrajqirr1p31v0/cifar10_nin.caffemodel?dl=1
license: BSD
sha1: 8e89c8fcd46e02780e16c867a5308e7bb7af0803
caffe_commit: c69b3b49084b503e23b95dc387329975245949c2
gist_id: e56253735ef32c3c296d
This model is a 3 layer Network in Network model trained on CIFAR10 dataset.
The performance of this model on validation set is 89.6% The detailed descriptions are in the paper Network in Network
The preprocessed CIFAR10 data is downloadable in lmdb format here:
The data used to train this model comes from http://www.cs.toronto.edu/~kriz/cifar.html Please follow the license there if used.
Has anybody been able to reproduce the paper results on cifar-100? We could get the paper result on cifar-10 (%10 error rate) but the same network doesn't converge to less than %75 error rate on cifar-100! Do you have any suggestion?