In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Abstract: Humans are precise in recognizing natural languages and responding contextually unlike machines. However, speech recognition or Automatic speech recognition often refers to converting human ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

Abstract: In order to solve the problem of poor universality and the absence of contextual information in word similarity calculation based on dictionary, this paper proposes a semantic similarity ...