What does the term "Custom training" refer to in Vertex AI?

The term "Custom training" in Vertex AI refers to a customizable training application that allows users to tailor the training process to meet specific outcomes and requirements of their machine learning models. This option emphasizes flexibility and adaptability, enabling machine learning engineers to define their own model architectures, specify hyperparameters, and choose the training algorithms that best suit their data and objectives.

By engaging in custom training, users can utilize their datasets in a manner that is aligned with the unique characteristics of the problem they are addressing. This approach is particularly useful in scenarios where off-the-shelf models do not adequately capture the complexities of the data or where specific performance metrics need to be targeted.

In summary, "Custom training" empowers users to craft an individualized training experience that can lead to more effective and tailored machine learning solutions.