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Encoder-Decoder Architecture - 한국어

عن

이 과정은 기계 번역, 텍스트 요약, 질의 응답과 같은 시퀀스-투-시퀀스(Seq2Seq) 작업에 널리 사용되는 강력한 머신러닝 아키텍처인 인코더-디코더 아키텍처에 대한 개요를 제공합니다. 인코더-디코더 아키텍처의 기본 구성요소와 이러한 모델의 학습 및 서빙 방법에 대해 알아봅니다. 해당하는 실습 둘러보기에서는 TensorFlow에서 시를 짓는 인코더-디코더 아키텍처를 처음부터 간단하게 구현하는 코딩을 해봅니다.

الوحدات

인코더-디코더 아키텍처: 개요

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • 인코더-디코더 아키텍처: 퀴즈

2 Videos

  • 인코더-디코더 아키텍처: 개요
  • 인코더-디코더 아키텍처: 실습 둘러보기

1 Readings

  • 인코더-디코더 아키텍처: 실습 리소스

Auto Summary

Unlock the potential of powerful machine learning frameworks with the "Encoder-Decoder Architecture" course, tailored for IT and Computer Science enthusiasts. This expert-level program, offered by Coursera, delves into the intricacies of the encoder-decoder architecture, a key component in handling sequence-to-sequence tasks such as machine translation, text summarization, and question answering. Led by knowledgeable instructors, you will explore the fundamental elements of encoder-decoder models and learn effective training and deployment techniques. The course includes practical exercises, where you will implement an encoder-decoder architecture for poetry generation using TensorFlow, providing hands-on experience from the ground up. Whether you are a seasoned professional or an advanced learner, this course offers flexible learning options through Starter and Professional subscriptions, making it accessible to a variety of schedules and commitments. Embark on this journey to enhance your expertise in machine learning and master cutting-edge technologies.

Google Cloud Training
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Google Cloud Training