In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Just as cartography is essential for mapping physical terrain, framing the topography of quantum networks is critical for characterizing a complex world. These networks consist of interconnected ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Jeremy Strong is known as one of the most intense method actors working today, and that's apparently the exact energy Aaron Sorkin is seeking for The Social Network Part II, as Deadline reports that ...

ABSTRACT: With the rapid development of global economic integration and digital technology, the transportation system, as a core component of the supply chain, has become a key factor influencing the ...

Summary: A revolutionary microscopy method called LICONN enables scientists to reconstruct brain tissue and map synaptic connections using standard light microscopes. By embedding brain tissue in ...

The Schwab Network recently discussed an “example” options trade involving Netflix (NFLX). According to the network, the trade is “neutral to bullish” and takes advantage of the stock’s expected high ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...