Transformer Models and BERT Model - Bahasa Indonesia
About this course
Kursus ini memperkenalkan Anda pada arsitektur Transformer dan model Representasi Encoder Dua Arah dari Transformer (Bidirectional Encoder Representations from Transformers atau BERT). Anda akan belajar tentang komponen utama arsitektur Transformer, seperti mekanisme self-attention, dan cara penggunaannya untuk membangun model BERT. Anda juga akan belajar tentang berbagai tugas yang dapat memanfaatkan BERT, seperti klasifikasi teks, menjawab pertanyaan, dan inferensi natural language. Kursus ini diperkirakan memakan waktu sekitar 45 menit untuk menyelesaikannya.
60/100
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- 24/45
- Who stands behind it
- 20/35
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- 16/20
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What you'll learn
- understand the architecture of Transformer models
- explain the self-attention mechanism
- apply BERT for text classification
- utilize BERT for question answering
- conduct natural language inference with BERT
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