Learn Transformer architecture and BERT model in Indonesian. Explore self-attention, text classification, and NLP tasks using BERT.
Learn Transformer architecture and BERT model in Indonesian. Explore self-attention, text classification, and NLP tasks using BERT.
Kursus ini memperkenalkan arsitektur Transformer dan model BERT dalam Bahasa Indonesia. Anda akan mempelajari komponen utama Transformer seperti mekanisme self-attention, cara membangun model BERT, dan penggunaannya dalam berbagai tugas NLP seperti klasifikasi teks, menjawab pertanyaan, dan inferensi bahasa alami.
Instructors:
Indonesian
Bahasa Indonesia
What you'll learn
Memahami komponen utama arsitektur Transformer
Mempelajari cara model BERT dibuat menggunakan Transformer
Menggunakan BERT untuk menyelesaikan berbagai tugas natural language processing (NLP)
Memahami mekanisme self-attention dalam arsitektur Transformer
Menerapkan BERT untuk klasifikasi teks
Menggunakan BERT untuk tugas menjawab pertanyaan
Skills you'll gain
This course includes:
20 Minutes PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
Kursus ini memperkenalkan arsitektur Transformer dan model BERT (Bidirectional Encoder Representations from Transformers) dalam Bahasa Indonesia. Peserta akan mempelajari komponen utama arsitektur Transformer, termasuk mekanisme self-attention, dan bagaimana komponen-komponen ini digunakan untuk membangun model BERT. Kursus ini juga mencakup berbagai tugas NLP yang dapat diselesaikan menggunakan BERT, seperti klasifikasi teks, menjawab pertanyaan, dan inferensi bahasa alami. Materi disajikan melalui video pembelajaran, panduan lab, dan kuis untuk menguji pemahaman. Kursus ini dirancang untuk profesional dan peneliti di bidang AI yang ingin memperdalam pengetahuan mereka tentang model bahasa canggih.
Model Transformer dan BERT: Ringkasan
Module 1 · 48 Minutes to complete
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