NervanaSystems/neon: Faster RCNN, Sequence to Sequence, Reshape layer, updated pip requirements

Faster RCNN model Sequence to Sequence container and char_rae recurrent autoencoder model Reshape Layer that reshapes the input [#221] Pip requirements in requirements.txt updated to latest versions [#289] Remove deprecated data loaders and update docs Use NEON_DATA_CACHE_DIR envvar as archive dir to store DataLoader ingested data Eliminate type conversion for FP16 for CUDA compute capability >= 5.2 Use GEMV kernels for batch size 1 Alter delta buffers for nesting of merge-broadcast layers Support for ncloud real-time logging Add fast_style Makefile target Fix Python 3 builds on Ubuntu 16.04 Run setup.py for sysinstall to generate version.py [#282] Fix broken link in mnist docs Fix conv/deconv tests for CPU execution and fix i32 data type Fix for average pooling with batch size 1 Change default scale_min to allow random cropping if omitted Fix yaml loading Fix bug with image resize during injest Update references to the ModelZoo and neon examples to their new location