Understanding Batch Normalization Techniques for Deep Learning
Batch normalization techniques have emerged as a pivotal development in the field of deep learning, addressing training inefficiencies and enhancing model performance. By stabilizing the distribution of inputs across mini-batches, these techniques significantly expedite convergence during the training phase. The…