nlp自然语言处理深度学习的相关内容

文章 2024-10-11 来自：开发者社区

【NLP自然语言处理】初识深度学习模型Transformer

学习目标了解Transformer模型的作用. 了解Transformer总体架构图中各个组成部分的名称. Transformer的诞生 2018年10月，Google发出一篇论文《BERT: Pre-training of Deep Bidirectional Transformers for Language Understan...

文章 2024-10-11 来自：开发者社区

【NLP自然语言处理】基于PyTorch深度学习框架构建RNN经典案例：构建人名分类器

学习目标了解有关人名分类问题和有关数据掌握使用RNN构建人名分类器实现过程案例介绍关于人名分类问题:以一个人名为输入, 使用模型帮助我们判断它最有可能是来自哪一个国家的人名, 这在某些国际化公司的业务中具有重要意义, 在用户注册过程中, 会根据用户填写的名字直接给他分配可能的国家或地区选项, 以及该国家或地区的国旗, 限制手机号...

文章 2024-04-30 来自：开发者社区

PyTorch与NLP：自然语言处理的深度学习实战

一、引言随着人工智能技术的快速发展，自然语言处理（NLP）作为其中的重要分支，日益受到人们的关注。PyTorch作为一款强大的深度学习框架，为NLP研究者提供了强大的工具。本文将介绍如何使用PyTorch进行自然语言处理的深度学习实践，包括基础概念、模型搭建、数据处理和实际应用等方面。二、PyTorch与深度学习基础 2.1 PyTorch概述 ...

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更新时间 2024-10-12 09:19:20

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