The following are the steps to be followed in any DL project
Create the labelled data
Separate the data into Training and Holdout- Test split
Create a Good Metric function to validate the model
Create the base-line model, check the result using the Metric, how the model is performing
Create a new model improving upon the baseline model, evaluate the performance with the Same Metric (Apples to Apples comparison)