Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
Abstract: This paper presents a novel automatic modulation classification (AMC) framework for higher classes of modulation types under an orthogonal time-frequency space (OTFS) system, where we built ...
Abstract: Deep neural networks for image super-resolution (SR) have demonstrated superior performance. However, the large memory and computation consumption hinders their deployment on ...
In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...
CAPE GIRARDEAU, Mo. (KFVS) - A student club at SEMO is providing students of all studies a space to explore Artificial Intelligence(AI) and cloud computing outside of the classroom. President of the ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
A new report by the Children's Advocacy Institute, part of the University of San Diego School of Law, says that some of the world's major social media companies may be defying California law.
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A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Introduction: In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing ...