IEEE

AI-Driven Energy Optimization: Household Power Consumption Prediction With LSTM Networks and PyTorch-Ray Tune in Smart IoT Systems

Abstract: Energy optimization is critical in smart home systems and IoT networks, necessitating innovative models that reduce energy use. This research presents two Long Short-Term Memory (LSTM) ...
Hacker

Building StyleGAN in PyTorch: From Theory to Code

Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better. My name is Ankush Thakur, and as a Computer Science student fascinated by ...
Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

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 ...
InfoQ

PyTorch Monarch Simplifies Distributed AI Workflows with a Single-Controller Model

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Game Rant

Most Iconic Tutorials In Games, Ranked

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...
IEEE

A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction

Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...