Jay's Blog
  • About
  • Tags
  • Project
    1. Home
    2. /
    3. Categories
    4. /
    5. 딥러닝 이론편
    JaeYeong Kim

    JaeYeong Kim

    • Busan, Korea
    • Website
    • GitHub
    • Kaggle
    • Email
      Boostcamp
      • Common_part
      • NLP_part
      odds and ends
      • Odds and ends
      Python
      • Data_type
      • Statement
      • Component
      • Intermediate
      • Object-oriented
      Algorithm
      • Data_structure
      • Algorithm
      • Problems
      Artficial Inteligence
      • Machine_learning
      • Deep_learning
      • Library
      • Environment
      NLP
      • paper
      • Theory
      • Practice
      Server
      • Network
      • Linux
      • Docker
      • Django
      Stack
      • Java
      • Git
      • BigData
      Book
      • Effective python
      Computer
      • Computer_structure
      • Operating_system

    딥러닝 이론편

    [Deep_learning-Theory] 딥러닝이 처음이라면
    2021.04.01 AI dl_theory
    [Deep_learning-Theory] 선형 회귀
    2021.04.01 AI dl_theory
    [Deep_learning-Theory] 분류(Logistic regression)
    2021.04.02 AI dl_theory
    [Deep_learning-Theory] 배치 경사 하강법
    2021.04.03 AI dl_theory
    [Deep_learning-Theory] 다층 신경망 이론
    2021.04.03 AI dl_theory
    [Deep_learning-Theory] 딥러닝 성능 향상을 위한 요령
    2021.04.03 AI dl_theory
    [Deep_learning-Theory] 딥러닝의 규제를 통한 일반화
    2021.04.03 AI dl_theory
    [Deep_learning-Theory] CNN
    2021.04.04 AI dl_theory
    [Deep_learning-Theory] Advanced Architectures of CNN (GoogLeNet, ResNet)
    2021.04.05 AI dl_theory
    [Deep_learning-Theory] RNN
    2021.04.05 AI dl_theory
    [Deep_learning-Theory] Advanced Architectures of RNN (LSTM, GRU)
    2021.04.06 AI dl_theory
    • GitHub
    • Feed
    © 2021 JaeYeong Kim. Powered by Jekyll & Minimal Mistakes.