Attention

Original Survey Authors: Sneha Chaudhari , Gungor Polatkan , Rohan Ramanath , Varun Mithal

1. Introduction

The Attention Model was first established for Machine Translation gained massive popularity in the Artificial Intelligence community. Over the years, it has become a significant part of neural network architecture for various Natural Language Processing, Statistical Learning, Speech Recognition, and Computer Vision applications. There has been a rapid advancement the attention modeling in neural networks because these models are state-of-the-art for multiple tasks. They can interpret neural networks and overcome the limitations of Recurrent Neural Networks (RNNs). The functioning of tasks like Vision Processing, Speech, Translation…


Image courtesy: Pixabay

Survey Authors: Shervin Minaee, Amirali Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang.

Original Article: https://arxiv.org/pdf/1912.00271.pdf

Have you ever wondered how does biometric recognition work? How do our laptops and mobile devices get unlocked using fingerprints and face unlock features? Let us first understand why does a biometric recognition hold a unique place in authentication and security applications such as cellphone authentication, airport security, and forensic science.

Biometrics are physical human attributes that can be utilized to carefully recognize an individual to grant access to frameworks, gadgets or information. Unlike the token based features such as ID cards, passwords, answers to…

Swati Narkhede

MS Student at San Jose State University. Connect me at https://www.linkedin.com/in/swatinarkhede

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