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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/transformer-models-and-bert-model
课程评论：没有评论
课程名称：变换器模型与BERT模型 课程概述：该课程将介绍变换器架构及双向编码器表示变换器（BERT）模型。您将学习到变换器架构的主要组成部分，如自注意力机制，以及如何利用这一机制构建BERT模型。课程中还将探讨BERT可以应用于的不同任务，例如文本分类、问答和自然语言推理。预计课程时长约为45分钟。 大纲：这一模块将教授变换器架构的主要组成部分，包括自注意力机制，以及如何利用这些组件构建BERT模型。同时，您将了解BERT的多种应用任务，如文本分类、问答系统和自然语言推理等。
Name:Transformer Models and BERT Model: Overview
Description:In this module you will learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to co
