Training Pipeline
Understand the end-to-end training process from data to deployed model.
Pipeline Stages
1
Data Ingestion
Load and validate training data from various sources
2
Preprocessing
Transform, normalize, and augment data
3
Training
Run training loop with optimization and checkpointing
4
Evaluation
Validate model performance on held-out data
5
Export
Package model for deployment