Keras, TensorFlow.
must be monitored to ensure it performs as expected. This involves tracking the model's accuracy, latency, and other metrics. Model Maintenance: As new data becomes available, the ML model may need to be updated. This is known as model maintenance. Model maintenance involves retraining the model