What is Deep Learning? An Introductory Survey on its Ad

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已于 2023-10-09 03:00:56 修改

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分类专栏： AI大模型企业级应用开发实战文章标签：大数据人工智能语言模型 Java Python 架构设计

于 2023-10-09 02:15:42 首次发布

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深度学习是机器学习的一个子领域，通过人工神经网络处理复杂数据，改变了计算机理解数据的方式。本文将探讨深度学习的基础概念，核心算法，并在自然语言处理任务中如文本分类、情感分析、实体识别和机器翻译的应用。尽管存在挑战，但深度学习为复杂NLP任务提供了巨大潜力。

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作者：禅与计算机程序设计艺术

1.背景介绍

Deep learning is a subfield of machine learning that has revolutionized the way computers learn and understand data. It involves using artificial neural networks to discover patterns in complex datasets, which are often used in natural language processing (NLP) tasks such as text classification, sentiment analysis, named entity recognition (NER), etc. In this survey article, we will discuss what deep learning is and how it can be applied to various NLP tasks. Specifically, we will focus on four main categories of applications of deep learning:

Text Classification: This task involves categorizing texts into predefined classes or topics based on their contents. For example, spam detection or sentiment analysis

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