The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...

Abstract: Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten microns. ULM is ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

1 Department of Engineering, University of Naples Parthenope, Naples, Italy 2 Department of Economics, Law, Cybersecurity and Sports Sciences (DiSEGIM), University of Naples Parthenope, Naples, Italy ...

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...