Train and re-train your Deep Learning models using the Train Tab.
The Train tab contains a link (1) to a help screen with information about how to use this tab.
The Create button (2) will create a new Excel worksheet named 'TrainingData’ and will pre-populate it with the column headers that were saved when you analyzed your original input data. If the TrainingData worksheet already exists, this button will be deactivated.
The column names and their order are important and can't be changed. This ensures that the model will train properly.
Enter the data to be used to train the model into this worksheet.
Update Model Hyperparameter
Hyperparameters are parameters whose value is used to control the learning process. ML Laboratory selects these values for you based on the training data. If you are not satisfied with the results of your trained model, experiment with different hyperparameter values here. Selecting the “Show Params” button will reveal a list of parameter values that may be modified. Each model type has different parameters that may experimented with. Be sure to select the “Update Params” button before training the model.
Selecting this option will initiate the model training process. While the model is training a chart will be displayed (4) showing the progress of the model training. When the training is complete, the final model metrics will be recorded (5).
When satisfied with the result of the training session, save the trained model and use it for future predictions. If you are unsatisfied with the results, try training the model on a larger data set or changing the model's hyperparameters.