Modify network2.py to trigger the datastorage method when (a) training_accuracy + evaluation_accuracy or (b) training_accuracy or (c) evaluation_accuracy is maximum, depending on what parameters the user has chosen to monitor.
First is to have (a) as default.
Once we get through it, b and c can be executed.
Modify network2.py to trigger the datastorage method when (a) training_accuracy + evaluation_accuracy or (b) training_accuracy or (c) evaluation_accuracy is maximum, depending on what parameters the user has chosen to monitor.
First is to have (a) as default. Once we get through it, b and c can be executed.