Deep Learning

Dropout layers have been the go-to method to reduce the overfitting of neural networks. It is the underworld king of regularisation in the modern era of deep learning. — In this era of deep learning, almost every data scientist must have used the dropout layer at some moment in their career of building neural networks. But, why dropout is so common? How does the dropout layer work internally? What is the problem that it solves? Is there any alternative…

In recent weeks we have got some piece of surprising news in the field of computer vision. The YOLO(You Only Look Once) series got a new member named MT-YOLOv6 which can also be called YOLOv6. YOLO series models are well known for real-time object detection and these all models are…

In this tutorial, we will create a “deep-learning powered” cybersecurity dashboard that simulates network traffic monitoring for malicious events in real-time. — Introduction If you spend more on coffee than IT security, you will be hacked! Warned U.S. Cybersecurity Czar Richard Clarke, speaking at RSA Conference. This quote would make a great bumper sticker if it weren’t for network attacks. According to research by IBM, it takes 280 days to find and contain…

What is machine learning? My answer to this question has changed over time. The goal of this post is to show how machine learning engineers tackle problems by walking through a case study. If you work closely with machine learning engineers or aspire to be a machine learning engineer…

Progressing Towards Responsible AI(arXiv) Author : Teresa Scantamburlo, Atia Cortés, Marie Schacht Abstract : The field of Artificial Intelligence (AI) and, in particular, the Machine Learning area, counts on a wide range of performance metrics and benchmark data sets to assess the problem-solving effectiveness of its solutions. However, the appearance…