Batch normalization was introduced in 2015. By normalizing layer inputs, batch normalization helps to stabilize and accelerate the training process, […]
What is Batch Normalization and Why is it Important? Read More »
Initially proposed in the seminal paper “Attention is All You Need” by Vaswani et al. in 2017, Transformers have proven
Decoding Transformers: What Makes Them Special In Deep Learning Read More »
Layer normalization has emerged as a pivotal technique in the optimization of deep learning models, particularly when it comes to
Layer Normalization: The Mechanics of Stable Training Read More »
