name: Deep Binary Hash Codes CIFAR10
caffemodel: KevinNet_CIFAR10_48.caffemodel
caffemodel_url: https://www.dropbox.com/s/1om7xa8mz93wkzh/KevinNet_CIFAR10_48.caffemodel?d
gist_id: 266d4150a1db5810398e
##GitHub
Download our model and source code here: https://github.com/kevinlin311tw/caffe-cvprw15
##Description
This model is a replication of the model described in the paper: http://www.iis.sinica.edu.tw/~kevinlin311.tw/cvprw15.pdf
The model is the iteration 50,000 snapshot trained on CIFAR-10.
The number of neurons in the latent layer is 48, in order to learn 48 bits binary hash codes.
The data used to train this model comes from the ImageNet project, which distributes its database to researchers who agree to a following term of access: "Researcher shall use the Database only for non-commercial research and educational purposes." Accordingly, this model is distributed under a non-commercial license.
hello, kevin, I have two question about your KevinNet,
I have not use this syntax before.