Experiment Settings: Experiment tracking allows you to track the performance of your model over many iterations of training. It shows you the accuracy of the model and the value of the loss function, both of which provide intuition as to how to tune your hyperparameters. This process is also called hyperparameter tuning. Deque has integrated Tensorboard and MLFlow (opensource) right into the app, allowing users to seamlessly, visually evaluate and monitor the model performance. To turn on experiment tracking within a Deque notebook, the user simply has to select either Tensorboard or MLFlow under experiment settings within notebook settings.