4. Training a Model: Steps and Techniques

1. Initializing the Model
2. Feeding Data into the Model
3. Forward Propagation
4. Computing Loss
5. Backward Propagation and Parameter Updates
6. Repeating Until Convergence

Training can take anywhere from seconds to days, depending on the complexity of the model and the size of the dataset.