Kursus ini memperkenalkan Anda pada arsitektur Transformer dan model Representasi Encoder Dua Arah dari Transformer (BERT) dalam bahasa Indonesia. Anda akan mempelajari komponen utama arsitektur Transformer, seperti mekanisme self-attention, dan penerapannya untuk membangun model BERT. Selain itu, Anda akan memahami berbagai tugas NLP yang dapat diselesaikan menggunakan BERT, termasuk klasifikasi teks, menjawab pertanyaan, dan inferensi bahasa alami.
Berikut adalah beberapa komponen kunci yang akan Anda pelajari selama kursus:
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The course modules provide a comprehensive overview of Transformer Models and BERT in Bahasa Indonesia, covering key concepts, practical labs, and assessments.
This module provides a concise summary of Transformer Models and BERT, highlighting key concepts and objectives. It also includes a practical lab guide and additional resources for further understanding. The module concludes with a quiz to assess your understanding of the material.
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