#workflow

Question 1: Single choice

Which order of steps follows the usual workflow for building a deep-learning model?

Collect data → split into training/validation/test → design the model → train → evaluate → optimize1
Collect data → design the model → train on all data → split into training/validation/test → evaluate → optimize2
Design the model → train → collect data → split into training/validation/test → evaluate → optimize3
Collect data → design the model → train → evaluate on the training data → split → optimize4