fix detection notebook link
link canonical bvlc site
fix test_all path in docs
point out @niuzhiheng's work on the Windows port
release v1 model defs + weights

- Caffe reference ImageNet model
- AlexNet

Note that one can upgrade the weights locally by
`upgrade_net_proto_binary.bin` to avoid re-downloading.
fix draw_net python script

include caffe.draw for drawing functions.
Merge pull request #435 from shelhamer/v1-models

Release v1 model defs + weights
link to demo
link presentation on dropbox (was self-hosted during a dropbox issue)
Correctly invert the swapping of colour channels

In the 'deprocess' method, get back the image with the original channel order
by inverting the original transform, rather than reversing the tuple which is
incorrect.
follow-up on #443 to invert k channels (instead of 3)
add convert_imageset option to resize images; use in
convert_imageset.cpp and document
Added max_idx to Pooling layer CPU
Default mask idx is -1
Added max_idx to Pooling layer GPU
Added test for  Pooling layer GPU
Use mask_idx to compute backward Max Pooling
Remove top_data from backward Max Pooling
Set bottom_diff to 0 and remove Async memcopy
Cleaned prints from test_pooling_layer.cpp