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Learning Transformer by Implementing

You will learn about Transformers inside out by directly implementing everything from Multi-Head Attention to the Original Transformer model, BERT, the Encoder-Decoder-based MarianMT translation model, and the Vision Transformer in code.

(5.0) 25 reviews

348 learners

Level Intermediate

Course period Unlimited

Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
encoder-decoder
encoder-decoder
bert
bert
transformer
transformer
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
encoder-decoder
encoder-decoder
bert
bert
transformer
transformer

News

2 articles

  • dooleyz3525님의 프로필 이미지

    Hello, students.

     

    I have just freshly released the Airflow Complete Guide Part 1 course.

     

    "Finish Data Pipelines in One Go! Airflow Master Class"

     

    From the core operating principles of Airflow to the practical use of various Operators and Hooks, I have poured my heart and soul into creating this course to help you grow into an Airflow expert recognized in the field.

     

    Course Introduction Page: https://inf.run/2Y8Z4

    Lecture Introduction Video: https://inf.run/znn8V

     

    To celebrate the launch, the Airflow Complete Guide Part 1 course is available at a 40% discount for two weeks starting today. Additionally, all of my other courses will also be available at a 30% discount for two weeks.

     

    I would like to confidently recommend this course as the best choice for learning Airflow. Thank you.

    2
  • dooleyz3525님의 프로필 이미지

    Hello, students

    As mentioned in the course introduction, I have completed adding the Vision Transformer section. I have also updated the practice code and course materials to reflect this section.

    Thank you.

    1

$59.40