Multiple Back-Propagation v. 2.2.1 is now available
This version corrects a bug that prevented data files in a format other than CSV to be properly read (As a result MBP would crash when training a network). When using CUDA the value of the max step size (configuration) is now taken into account (in previous versions the value of 10.0 was used regardless of the max step size specified).
Multiple Back-Propagation Version 2.2... read more
Version 2.1.4 corrects the following problems (bugs):
- When using CUDA to train a neural network, if more than one layer
contained selective activation neurons, the train would fail (fixed).
- After successfully training a network (using CUDA) it was no longer
possible to train new networks (fixed).
Version 2.1.3 corrects the following problems (bugs):
Multiple Back-Propagation version 2.1.2 had a bug that prevented it from working under Windows XP and earlier systems. Version 2.1.2a fixes this problem.
Version 2.1.2 is now available for download. This version supports CSV (Comma-separated values) files. CSV files can easily be generated by many programs such as Excel, thus CSV files are now the preferred method of input data (the other formats remain only for compatibility purposes) to Multiple Backpropagation. Furthermore, reading from CSV files was optimized and should be faster than reading data from other formats (especially for large datasets). Moreover when reading this format Multiple Back Propagation supports your locale decimal and list separators (there is no longer need for changing your data).... read more