Why is it important to shuffle the data before training a deep learning model?
Tuesday, 08 August 2023
by EITCA Academy
Shuffling the data before training a deep learning model is of utmost importance in order to ensure the model's effectiveness and generalization capabilities. This practice plays a crucial role in preventing the model from learning patterns or dependencies based on the order of the data samples. By randomly shuffling the data, we introduce a level