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Transformer Architecture: Understanding the Decoder #transformers #learninglogic

IN this dive into the concept of Layer Normalization in Transformers, a crucial technique used to improve the training of deep learning models. Learn how it helps stabilize the learning process, reduce the effects of internal covariate shift, and lead to faster convergence. We'll break down the theory and practical applications, providing insights into how Layer Normalization works in transformer-based models like BERT and GPT. Whether you're working with NLP models or other deep learning tasks, this is a key concept to master!


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