File Release Notes and Changelog
Release Name: 0.97
Notes:
New version with possibility to do make install and including ocr example by Peter Van Rossum
Changes:
version 0.97 -- 8/3/2004
- Added possibility to derive a new class from trainer
- New Makefile with dynamic libraries and possibility to
do make install
version 0.95 -- 3 March 2004
- Improved trainer class
- Class iomanage for reading target pairs
- Visual Network Trainer improved and draws graphics with gnuplot
version 0.9 -- 27 February 2004
- The new class trainer makes very easy the training
- New directory tests and new examples (wine)
- Change of default max random values of the weights
- In directory tests "visualtrainer", a graphical interface
(in tcl/tk) for training networks.
version 0.88 -- 22 February 2004
- New constructor taking a vector<int> of numbers of neurons in layers
- Sigmoidal function now multiplies by invinterval instead of
dividing by interval
- Sigmoidal function approximates the bounds with 0, 1 (-1, 1) and
not by the min or max value in table.
- Fixed the destructor (now deletes the sumdeltas fields)
- Now reading from file is smart enough to import files in old
lwneuralnet (C-library) format
version 0.85 --
- Fixed the copy() method for the copy constructor
- generate_sigma with array min_entry e max_entry
- Added possibility to switch min value and max value
of tanh function in generate_sigma (options -t, -u)
version 0.8 -- 8 February 2004
- Using inv_no_of_patterns in batch training
- Added possibility to combine SuperSab and batch training
with the end_batch_ssab() method.
Seems to be very fast!
- control that nus are in the range [minnu maxnu ]
when these values are changed
- method ssab_stats()
version 0.7 -- 7 February 2004
- Bug fixed in batch training
- Added possibility to change values of parameters in
SuperSab training
- Some bugs corrected in tests directory
version 0.61
- More documentation
version 0.6
- First release