How is the data shuffled in the preprocessing step and why is it important?
Tuesday, 08 August 2023
by EITCA Academy
In the field of deep learning with TensorFlow, the preprocessing step plays a important role in preparing the data for training a model. One important aspect of this step is the shuffling of the data. Shuffling refers to the randomization of the order of the training examples in the dataset. This process is typically performed