Attention Mechanism in Deep Learning

The introduction of Attention Mechanism has revolutionized the way we work with deep learning models. It is one of the most valuable developments that has given rise to many recent advancements in Natural Language Processing like the Transformer model and Google’s BERT. In this blog, we will explore the concepts behind Attention and its types. […]

Transformers – A Deep Learning Model for NLP

The Transformer is a Deep Learning Model that was introduced in 2017 and is mainly used for Natural Language Processing Tasks. It is mainly designed to handle sequential data for carrying out tasks such as text summarization and translation. Let’s take a deep dive into its architecture and why it is considered better than the […]