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Course summary

  • Type MOOC course
  • Period Always open
  • Learning Time Study freely
  • Course approval method Automatic approval
  • Certificate Issue Online
http://www.edwith.org/aiml-adv2
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Instructor Introduction

  • KAIST 산업및시스템공학과 문일철 교수님

    KAIST 산업 및 시스템 공학과 부교수
    KAIST AI대학원 겸임교수
    KAiST 항공우주공학과 겸임교수
    KAIST 안보융합연구원 겸임교수

Lecture plan

★강의목록
  1. CHAPTER 1 : Basic of VAE
    1. Basic of VAE: Overview
    1. Basic of VAE: Implicit Distribution
    1. Basic of VAE: Stacked Denoising Autoencoder
    1. Basic of VAE: Autoencoder and Latent Variable
    1. Basic of VAE: ELBO
    1. Basic of VAE: Amortized Inference (1)
    1. Basic of VAE: Amortized Inference (2)
    1. Basic of VAE: Quiz 1
  2. CHAPTER 2 : VAE Objectives and Structures
    1. VAE Objectives and Structures: Introduction
    1. VAE Objectives and Structures: Objective Function
    1. VAE Objectives and Structures: Reparameterization Trick
    1. VAE Objectives and Structures: Objective Function(1)
    1. VAE Objectives and Structures: Objective Function(2)
    1. VAE Objectives and Structures: Objective Function(3)
    1. VAE Objectives and Structures: Neural Network
    1. VAE Objectives and Structures: Neural Variational Document Model
    1. VAE Objectives and Structures: Quiz 2
  3. CHAPTER 3 : Conditional and Prior Modeling on VAE
    1. Conditional and Prior Modeling on VAE: cVAE(1)
    1. Conditional and Prior Modeling on VAE: cVAE(2)
    1. Conditional and Prior Modeling on VAE: NN Structure
    1. Conditional and Prior Modeling on VAE: Results
    1. Conditional and Prior Modeling on VAE: Quiz 3
  4. CHAPTER 4 : VaDE
    1. VaDE: Introduction
    1. VaDE: Graphical Modeling
    1. VaDE: ELBO Derivation (1)
    1. VaDE: ELBO Derivation (2)
    1. VaDE: ELBO Derivation(3)
    1. VaDE: ELBO Derivation (4)
    1. VaDE: ELBO Derivation (5)
    1. VaDE: Result
    1. VaDE: Quiz 4
  5. CHAPTER 5 : Alternative View of VAE
    1. Alternative View of VAE: Variations
    1. Alternative View of VAE: Beta-VAE
    1. Alternative View of VAE: ELBO with NN
    1. Alternative View of VAE: Importance Weighted VAE
    1. Alternative View of VAE: Quiz 5
  6. CHAPTER 6 : Optimal Prior of VAE
    1. Optimal Prior of VAE: Over-Regularization
    1. Optimal Prior of VAE: Derivation of Implicit Distribution
    1. Optimal Prior of VAE: Learning Implicit Prior Model
    1. Optimal Prior of VAE: ELBO with Implicit Prior
    1. Optimal Prior of VAE: Variational Inference and Implicit Model
    1. Optimal Prior of VAE: Quiz 6
  7. ★강의 수강 후 의견을 부탁드리겠습니다.★
    1. 교수님 강의에 대한 별점을 매겨주세요. 여러분의 의견이 많은 도움이 됩니다:D