name: Network in Network Imagenet Model
caffemodel: nin_imagenet.caffemodel
caffemodel_url: https://www.dropbox.com/s/cphemjekve3d80n/nin_imagenet.caffemodel?dl=1 license: BSD
caffe_commit: pull request yet to be merged
gist_id: d802a5849de39225bcc6
This model is a 4 layer Network in Network model trained on imagenet dataset.
Thanks to the replacement of fully connected layer with a global average pooling layer, this model has greatly reduced parameters, which results in a snapshot of size 29MB, compared to AlexNet which is about 230MB, it is one eighth the size.
The top 1 performance of this model on validation set is 59.36%, which is slightly better than AlexNet. (Using the average of 10 crops, (4 + 1 center) * 2 mirror, should obtain a bit higher accuracy.)
The training time of the model is also greatly reduced compared to AlexNet because of the faster convergence. It takes 4-5 days to train on a GTX Titan.
BSD
Hi @mavenlin,
I noticed that the SHA1 of the caffe model does not match what's listed here (the SHA1 listed here is
8e89c8fcd46e02780e16c867a5308e7bb7af0803
but the SHA1 of the downloaded model is2794deb2aada04f667894b7d6d929371b4689ea9
). Maybe this should be fixed so that people can be sure their download was successful and they're getting the correct model?