Loss normalized ...

Early stopping with patience improved and fine tuned
Improved checkpoints
Bugfixes
Plot of loss added
Trained save of rnn_lstm_5l_[50,40,30,20,10] added

Early stopping with patience added ...

Checkpoints during training added to go back to best state if perfomance decreases

Removed n_layer as with the new ncells its implicitly stated and added Errors if ncells is of the wrong type (has to be int or a list of ints)

Delete copy

Revert "Revert "This is the more advanced version of the old program"" ...

This reverts commit 963add1.

This is the more advanced version of the old program Added early stopping Improved performance It supports now many layers and an arbitrary amount of cells per layer. It also saves in a folder named after the models architecture

This is the more advanced version of the old program ...

Added early stopping
Improved performance
It supports now many layers and an arbitrary amount of cells per layer.
It also saves in a folder named after the models architecture

Revert "This is the more advanced version of the old program" ...

This reverts commit ca028c5.

This is the more advanced version of the old program ...

Added early stopping
Improved performance
It supports now many layers and an arbitrary amount of cells per layer.
It also saves in a folder named after the models architecture

Revert "Test for rnn state" ...

This reverts commit 82de3ca.

Test for rnn state

first test

Add files via upload

Initial commit