Artificial Intelligence Using Python: Technologies and Applications

A. Pirmatov, B. Azimov, S. Kamalov
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引用次数: 0

Abstract

This article explores the significant role of Python in the development and application of artificial intelligence (AI). It covers fundamental AI concepts such as neural networks, machine learning, and deep learning, as well as key Python libraries used in this field. A brief overview of the history of AI is provided, starting from its early concepts and progressing to modern achievements. Python is regarded as the primary tool in AI development, and popular libraries and frameworks like TensorFlow, PyTorch, and scikit-learn are introduced. The article includes specific code examples and demonstrations of operations with Python libraries for machine and deep learning. It discusses AI application areas such as natural language processing, computer vision, recommendation systems, and robotics, along with examples of successful projects in these domains.
使用Python的人工智能:技术和应用
本文探讨了Python在人工智能(AI)开发和应用中的重要作用。它涵盖了基本的人工智能概念,如神经网络、机器学习和深度学习,以及该领域使用的关键Python库。简要概述了人工智能的历史,从早期的概念开始,发展到现代的成就。Python被认为是人工智能开发的主要工具,并且介绍了流行的库和框架,如TensorFlow, PyTorch和scikit-learn。本文包括特定的代码示例和使用Python库进行机器学习和深度学习的操作演示。它讨论了人工智能应用领域,如自然语言处理、计算机视觉、推荐系统和机器人,以及这些领域的成功项目示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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