Transformer Models and BERT Model - 繁體中文
Enroll now →
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。
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
Skills you'll gain
Related courses
Deep Learning Applications for Computer Vision
USD 49
파이썬(Python) 딥러닝(Deep Learning,DL) 프로젝트 - 딥러닝 모델 입문
USD 64.99
Advanced Deep Learning Methods for Healthcare
USD 79
Deep Learning for Natural Language Processing
USD 49
Deep Learning Methods for Healthcare
USD 79
TensorFlow 2 for Deep Learning
USD 49
Build Basic Generative Adversarial Networks (GANs)
USD 49
Machine Learning with Small Data Part 1
USD 49
Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.