What does "Momentum Term" mean?

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Momentum term is a concept used in machine learning to help improve the training of models. It acts like a boost, helping the learning process move faster and more smoothly.

In simple terms, when a model learns from data, it makes small adjustments to improve its predictions. Sometimes, these changes can be slow or can bounce around too much. The momentum term helps by remembering the direction of previous changes, allowing the model to keep moving in that direction with more speed and stability.

For example, imagine pushing a ball down a hill. At first, it might move slowly, but as it gains speed, it continues rolling down without stopping every few moments. The momentum term helps models maintain their speed and direction, making them more efficient and effective in tasks like classifying images or recognizing patterns in data.

This approach has shown to lead to better results in various applications, including medical imaging. By using momentum, models can learn more effectively, allowing for more accurate predictions and classifications.