Draft for Input_layer copied from Data_layer
Added input_layer to set of layers and to factory
Fixed input_layer to pass tests, added cat image to data to perform the tests
Added the option to resize_image to resize images using cv::resize while reading them
Renamed input_layer to images_layer
Fixed typos to pass test_images_layer
Enforce that new_height and new_width are both 0 or both > 0
Fixed command path in documentation
Merge pull request #187 from yosinski/doc-up

Fixed command path in documentation
Update README.md to fix missing } in bibtex
pycaffe: blobs and params are properties, not methods
Rename pycaffe.cpp -> _caffe.cpp in preparation for python wrapper

This commit should not break any code which does not refer explicitly to
caffe.pycaffe.
Add a pass-through Python wrapper of _caffe.CaffeNet

This commit restores caffe.pycaffe as Python code that wraps
caffe._caffe. It also renames caffe.CaffeNet as the less-redundant
caffe.Net.
Use an OrderedDict for caffe.Net.blobs
Update detector.py to use the new Net/blobs interface
Update imagenet/wrapper.py to use the new Net interface
Merge pull request #120 from sguada/images_layer

Images layer: A data provider layer directly from images
note CUDA lib without CUDA driver install for CPU mode
Publish the Caffe presentation, pi day edition

Learn all about the Caffeine life.

Deep learning, coffee, and pie: better together!

(Although this is a pdf at the moment, it'll be replaced with a google
doc soon).
Expose layers and remove now-redundant params in Python interface

For now, only layer names and blobs are accessible, but more
functionality (layer Forward and Backward) could be added later.