-
Notifications
You must be signed in to change notification settings - Fork 0
Home
Yogesh Garg edited this page Nov 23, 2016
·
6 revisions
Welcome to the artistic-styles wiki!
Add more about the project here
- A Neural Algorithm of Artistic Style
-
VGG - Visual Geometry Group
- Very Deep Convolutional Networks for Large-Scale Image Recognition Paper
- [Results] http://www.robots.ox.ac.uk/~vgg/research/very_deep/
- Thank You Toronto
- Paper 2
- Tutorial // Tutorial on how VGG was coded
- CNN Convolutional Neural Networks as described on deeplearning.net website; includes code samples for Theano
- [jcjohnson-neural-style] (https://github.com/jcjohnson/neural-style)
- Lecture on Con-nets// lecture explaining con Nets and their history most useful for us is the section starting at 52m which talks about using a pre-trained con-net eg VGG and appending a new task to the end. Exactly what was done for the paper we are investigating.
- Theano
- Caffe
- keras
- tmux tutorial
- intro : look up the following terms
- session, windows and panes
- tmux shortcut
- basic
tmux new-session -s session1 # create a new session ctrl+b, d # detach tmux attach -t session1 # attach to a new session ctrl+b, c # create a new window ctrl+b, [0-9] # go to a window
- intermediate
- go through the reference
- instead of
tmux
, usetmux -S /path/to/tmux-shared
to share tmux screens (so long as the file /path/to/tmux-shared is accessible to users)
- intro : look up the following terms
- Which layers could we extract the information?
- conv1_1, conv2_1, conv3_1, conv4_1, conv5_1
- Reconstruction of images
- Model
- Weights
- How to train