nnForge v2.2.0

Hi, nnForge v2.2.0 is published!

• Convolutional layer
• strides added
• w/out bias option added
• check_gradient command added
• Imagenet: reproduced ResNet50 result (7.5% Top5 single crop)
• Average subsampling layer allows specifying output size instead of subsampling window sizes
• Added profiling to CUDA backend
• Max subsampling layer:
• round_up mode added
• Strides added
• Step learning rate decay policy added
• Added update_bn_weights action (but calculating mean and invsigma during training works well)
• Spatial Transformer:
• affine_grid_generator_layer added
• linear_sampler layer added
• Utilizing cudnnFindConvolution*AlgorithmEx functions to get maximum perf (cuDNN v5 is required for that)
• Added strides to sparse convolution layer