Exploring the Superhero Role of 2D Batch Normalization in Deep Learning Architectures

Internal working and intuitions are explained through simple examples

Deep Learning (DL) has been a game-changer in the evolution of Convolutional Neural Networks (CNN) and Generative Artificial Intelligence (Gen AI). Such DL models can extract complex patterns and features from multidimensional spatial data, such as images, and make predictions. The more intricate the patterns in the input data are, the more complex can the model architecture be. There are many ways to accelerate the model training …

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