polished ignore
define AlexNet architecture

Swap order of lrn and max pooling layers to reflect Krizhevsky
architecture. Initialize biases to 0.1 where Krizhevsky had 1, as
training by initialization with 1 has flat loss.
Document AlexNet model, include download script
include pretrained snapshot and performance details
Merge pull request #327 from shelhamer/alexnet

Include Caffe model for Krizhevsky architecture (AlexNet)
note support for non-MKL installation in dev
fix typo pointed out by @yinxusen
bundle presentation in gh-pages for now...

...dropbox disabled our link. Actual solution: configure web server for
models and other materials soon.
specify NetParameters directly in the SolverParameter
log {Net,Solver}Parameters on Init
allow multiple test nets
add a lenet example of specifying train/test net directly in solver;
multiple test nets
multiple test_iter
lint and two test_iters in lenet_consolidated_solver
add script to run lenet_consolidated_solver and add comment with results
for first/last 500 iterations
fix proto comment for multiple test nets
require either train_net or train_net_param to be specified
match existing python formatting
make python wrapper mean match binaryproto dimensions

ilsvrc_2012_mean.npy has dims K x H x W.

Code written for the old D x D x K mean needs to be rewritten!
add python io getters, mean helper, and image caffeinator/decaffeinator