Image and Speech Models: From Training to Inference
Image and Speech Models: From Training to Inference Training and inference are two parts of the same journey. Image and speech models learn from data, then they serve answers to users. Knowing how each phase works helps teams plan data needs, compute resources, and how to deliver results reliably. During training, data collection and labeling guide the learning process. For images, you may label objects or scenes; for speech, you align audio with transcripts. The model then adjusts its weights to reduce error, often through many passes over the data. Good training balances accuracy with generalization, so the model performs well on new samples, not just on the examples it has seen. ...