Hello,
I'm an AI master student who spent the summer trying to find out an interesting idea for my memoir (master thesis).
I'm really interested in deep learning so I explored it a little further and found the interesting paper published by
Zeiler and Fergus about
Visualizing and Understanding Convolutional Networks (which he explains in this video
https://www.youtube.com/watch?v=ghEmQSxT6tw). So I wanter to use this idea to implement
Visualization Tool for CNNs using theano & pylearn.
I just found out that
Jason Yosinski (et al.) realized it few months ago:
http://yosinski.com/deepvis as a
caffe (
http://caffe.berkeleyvision.org/ ) toolbox, so my goal would be to implement it for
pylearn.
What do you guys think about the idea? is it worth it?
Any thought, remark or critic would be great.
Thanks,