nnForge v1.1.13

nnForge v1.1.13 is published with a number of improvements:

• Data transformrs:
• 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