What is Batch Normalization in Deep Learning?
Deep learning models are usually associated with vast data and complicated layers. However, slow and unstable training, or more precisely non-convergence, are pitfalls the model is subjected to. To ameliorate this shortcoming, researchers proposed batch normalization (BN). This came to be accepted as a standard technique to speed up the training of neural networks, enhance […]