Tensorboard-logging, gradient visualisation, bugfixes
New Features
Tensorboard logging is available and can be activated in the fit() function. Logger enables automatic tracking of all loss terms and their weights
Logging of Loss gradients in order to identity gradient pathologies, you can track the gradient updates by adding a logger and setting the
track_gradient flag in the fit() function.
Bugfixes
Fix the usage of the to method in MLP and FingerNet
Examples
A working example of the heat equation