Coursera
MOOC / Non-credit
0
Transformer Models and BERT Model - 繁體中文
About this course
這堂課程將說明變換器架構，以及基於變換器的雙向編碼器表示技術 (BERT) 模型，同時帶您瞭解變換器架構的主要組成 (如自我注意力機制) 和如何用架構建立 BERT 模型。此外，也會介紹 BERT 適用的各種任務，像是文字分類、問題回答和自然語言推論。課程預計約 45 分鐘。
D
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What you'll learn
- Understand the transformer architecture
- Learn about self-attention mechanisms
- Become familiar with the BERT model and its applications
- Recognize tasks suitable for BERT, such as text classification and question answering
Deep Learning
#deep learning
#nlp
#text classification
#question answering
#bert
#transformer models
#self-attention
#natural language inference
$49.00
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