v1.1.13

• Data transformers:
  -- Stretch added to distort sampler transformer
  -- perspective distortions added to distort_2d transformer
  -- reshape_data_transformer added
  -- elastic_deformation_2d_data_transformer added
• Mixture of models:
  -- Added --test_validate_save_output and --test_validate_load_output options
  -- Running testing and validation from a mixture of output_values
• Readers:
  -- supervised_shuffle_entries_data_reader is made deterministic
  -- deterministic image data reader is extended to sampler
• Layers:
  -- Parametric ReLU added (with CPU and GPU backends)
  -- Average subsampling is reverted to native implementation (3D and 4D support)
• Others:
  -- Taking RELUs into account when initializing weights
  -- validate_progress_network_data_pusher is extended with frequency parameter
  -- Quasi-random training data randomization is dropped
  -- Memory consumption reduced during testing
  -- Resume training (-R) can now be applied with multiple ANNs training (-N)
  -- VS2013 projects and solution added (using CUDA 7.0)
  -- Fixed fancy backprop for analyzer
  -- Bug-fixes