
01
Data Preparation
This step involves gathering and preprocessing data. It includes tasks such as collecting relevant data, cleaning it to remove noise or inconsistencies, and organizing it into a format suitable for training a deep learning model. Data preparation is crucial as the quality and quantity of data directly impact the performance of the deep learning model.