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Categories Machine Learning

Hands-on Meta-Learning

  • Familiarity with basic machine learning concepts and algorithms is recommended.
  • Basic proficiency in Python programming language, including libraries like TensorFlow or PyTorch, will be advantageous.
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2,089.00

What I will learn?

  • Gain an in-depth understanding of Generative AI, exploring its foundational principles and core concepts.
  • Dive into different NLP (Natural Language Processing) transformers, dissecting their functionalities, and understanding how they power language generation, comprehension, and translation tasks.
  • Apply your knowledge practically by gaining hands-on experience in implementing Generative AI models in real-world applications.

Course Curriculum

Meta-Learning: Video Lesson

  • Application of Meta-Learning
    33:03
  • Different Few-Shot Learning Network with Pytorch and Tensorflow: Hands-on
    01:29:02
  • Introduction of Meta-Learning: Intuition
    35:21
  • Meta Learning Methods with Pytorch and Tensorflow: Hands-on
    02:12:57
  • Few-Shot Learning: Intuition
    44:01

Meta-learning: Handout Notes

Hands-on Implementation

Assessment

Testimonials

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Material Includes

  • Video Lesson
  • Handout Note
  • Python Codes
  • MCQs

Requirements

  • Familiarity with basic machine learning concepts and algorithms is recommended.
  • Basic proficiency in Python programming language, including libraries like TensorFlow or PyTorch, will be advantageous.

Who Should Take this course?

  • Intermediate in Machine Learning

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