supervised training

Frequency: 7.010.2 per million words

A type of machine learning where an algorithm learns from data that has been manually labeled with the correct outcomes.

supervisedADJECTIVE + NOUN

Categories:

training

Examples (10)

  • The supervised training process requires a large dataset.
  • This model was developed using supervised training on labeled images.
  • We opted for supervised training to ensure accuracy in classification.
  • The effectiveness of the algorithm depends heavily on the quality of the supervised training data.
  • Researchers are exploring new methods for supervised training to improve performance.
  • Unlike unsupervised learning, supervised training uses explicit feedback.
  • The supervised training phase is crucial for the model to learn patterns.
  • Implementing supervised training can be computationally intensive.
  • The system benefits from continuous supervised training to adapt to new information.
  • Many commercially successful AI applications rely on supervised training.