nnForge v1.1.1

I've just published new nnForge release v1.1.1:

• Using space-filling curve for all the convolutional updaters, testers and hessians in CUDA backend, training large networks performance improved 
• Improved concurrent training and loading/processing input data for all the stages by loading data in a separate host thread, CUDA backend only
• In-memory supervised data reader added
• Added NVTX profiling for reading input data, CUDA backend only
• Fixed:
• Binding texture to too large linear buffer
• Average subsampling backprop in CUDA backend is wrong for non-even configs
• Fixed performance in Windws with WDDM driver