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Built-In Training

Train deep learning networks using built-in training functions

After defining the network architecture, you can define training parameters using the trainingOptions function. You can then train the network using trainNetwork or trainnet. Use the trained network to predict class labels or numeric responses.


Deep Network DesignerDesign, visualize, and train deep learning networks


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trainingOptionsOptions for training deep learning neural network
trainNetworkTrain neural network
trainnetTrain deep learning neural network (Since R2023b)
TrainingInfoNeural network training information (Since R2023b)
showShow training information plot (Since R2023b)
closeClose training information plot (Since R2023b)
accuracyMetricDeep learning accuracy metric (Since R2023b)
aucMetricDeep learning area under ROC curve (AUC) metric (Since R2023b)
fScoreMetricDeep learning F-score metric (Since R2023b)
precisionMetricDeep learning precision metric (Since R2023b)
recallMetricDeep learning recall metric (Since R2023b)
rmseMetricDeep learning root mean squared error metric (Since R2023b)


App Training

Command-Line Training