返回到 Transformer Models and BERT Model
学生对 Google Cloud 提供的 Transformer Models and BERT Model 的评价和反馈
125 个评分
课程概述
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 complete.
热门审阅
WC
Mar 12, 2024
Excellent and concise presentation of Transformer and BERT models. The course designer may consider adding programming assignments to illustrate the concepts and to reinforce student learning.
NK
May 13, 2025
I am looking for free resources for experimentation, or a lighter model that can run on my laptop.
筛选依据：
26 - Transformer Models and BERT Model 的 27 个评论（共 27 个）
创建者 arsalan k
•Oct 23, 2023
The course has lot of bugs in interface. In addition there is no explanation on how to import code from github to google cloud.
创建者 Ravindra K S C S a E
•Sep 18, 2025
I did not find it helpful in any way