wekaDeeplearning4j-v1.3.1
Changes
- Choosing a zoo model now adds its layers to the current configuration. It is also possible to change the layer setup and parameters (keep in mind, that this will reset the
zooModel
option toCustomNet
since the changed setup does not comply with the actually chosen zoo model anymore) - Add warning if validation set in EarlyStopping was too small
- Add global information to different options in the GUI
- Add more warnings if invalid setups which configuring the network
- Fix log file if
WEKA_HOME
was not set - Add layer configuration validation
- Add option for evaluation after
N
epochs toEpochListener
- Reduce evaluation time
Update
This version suffered from a memory bug which is fixed in v1.3.2
and above.