Model training

Model training is the process of teaching a machine learning model to learn patterns and make predictions by exposing it to large amounts of data. During training, the model's parameters are repeatedly adjusted to minimize the difference between its predictions and the known outcomes in the training data.

• Workspaces and Problems
• Experiment Configuration
  • Basic info
  • Dataset selection
  • Preprocessing
  • Augmentation
  • Parameters
  • JSON Editor
• Training
• Evaluation
• Model Deployment