deep-dream

Has anyone successfully trained a caffe model? I have a training ready image set that I would like to use to create a caffe model for use with Google's Deep Dream. The only resources I've been able to find on how to train a model are these: ImageNet Tutorial EDIT: Here's another, but it's not creating a deploy.prototxt file. When I try to use one from another model it "works" but isn't correct. caffe-oxford 102 Can anyone point me in the right direction to training my own model? Franck Dernoncourt I have written a simple example to train a Caffe model on the Iris data set in Python. It also

Background I've been playing around with Deep Dream and Inceptionism , using the Caffe framework to visualize layers of GoogLeNet , an architecture built for the Imagenet project, a large visual database designed for use in visual object recognition. Imagenet can be found here: Imagenet 1000 Classes. In order to probe into the architecture and generate 'dreams', I am using three notebooks: https://github.com/google/deepdream/blob/master/dream.ipynb https://github.com/kylemcdonald/deepdream/blob/master/dream.ipynb https://github.com/auduno/deepdraw/blob/master/deepdraw.ipynb The basic idea here

I am trying to run Google's deep dream. For some odd reason I keep getting ImportError: No module named google.protobuf after trying to import protobuf. I have installed protobuf using sudo install protobuf . I am running python 2.7 OSX Yosemite 10.10.3. I think it may be a deployment location issue but i cant find anything on the web about it. Currently deploying to /usr/local/lib/python2.7/site-packages. Panfeng Li There is another possibility, if you are running a python 2.7.11 or other similar versions, sudo pip install protobuf is ok. But if you are in a anaconda environment, you should