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Lif31up's Blog
  • Welcome! I'm Myeonghwan
  • How to Read the Pages
  • Fundamental Machine Learning
    • Foundational Work of ML: Linear/Logistic Regression
    • Early-stage of AI: Perceptron and ADALINE
    • What is Deep Learning?: Artificial Neural Network to Deep Neural Network
    • * Challenges in Training Nerual Network
  • Meta Learning
    • Overview on Meta Learning
    • Prototypical Networks for Few-shot Learning
    • Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  • Natural Language Process
    • Bag-of-Words
  • Actionale AI
    • * Overview on Actionable AI
  • Front-end Development
    • Overview on Front-end Development
    • Learning React Basic
      • React Component: How They are Rendered and Behave in Browser
      • State and Context: A Key Function to Operate the React Application
      • Design Pattern for Higher React Programming
  • Songwriting
    • A Comprehensive Guide to Creating Memorable Melodies through Motif and Phrasing
  • Sound Engineering
    • How to Install and Load Virtual Studio Instruments
    • A Guide to Audio Signal Chains and Gain Staging
    • Equalizer and Audible Frequency: How to Adjust Tone of the Signal
    • Dynamic Range: the Right Way to Compress your Sample
    • Acoustic Space Perception and Digital Reverberation: A Comprehensive Analysis of Sound Field Simulat
  • Musical Artistry
    • What is Artistry: in Perspective of Modern Pop/Indie Artists
    • Visualizing as Musical Context: Choose Your Aesthetic
    • Analysis on Modern Personal Myth and How to Create Your Own
    • Instagram Management: Business Approach to Your Social Account
  • Art Historiography
    • Importance of Art Historiography: Ugly and Beauty Across Time and Space
    • Post-internet Art, New Aesthetic and Post-Digital Art
    • Brutalism and Brutalist Architecture
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Welcome! I'm Myeonghwan

NextHow to Read the Pages

Last updated 13 hours ago

ν•œλͺ…ν™˜(Myeonghwan, Han)은 λŒ€ν•œλ―Όκ΅­μ˜ 싱어솑라이터, μž‘κ°€, 인곡지λŠ₯ 독립 연ꡬ원, 개인 νˆ¬μžμžμž…λ‹ˆλ‹€.

GPT, DeepSeek을 톡해 λŒ€ν•™κ΅λ³΄λ‹€ 더 λ§Žμ€ 것을 λ°°μ› λ‹€λŠ” κΉ¨λ‹¬μŒκ³Ό ν˜„ ν•™μˆ  λ¬Έν™”κ°€ 적성에 λ§žμ§€ μ•Šλ‹€λŠ” ν™•μ‹ ν›„, 컴퓨터 곡학 κ΅μœ‘κ³Όμ •μ„ μ€‘λ‹¨ν•˜κΈ°λ‘œ ν–ˆμŠ΅λ‹ˆλ‹€.

Research on AI

λ©”νƒ€ν•™μŠ΅, 데이터 μ‚¬μ΄μ–ΈμŠ€ 그리고 행동 μœ λ„ν˜• 인곡지λŠ₯을 μ—°κ΅¬ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. λ‹€λ₯Έ 독립 μ—°κ΅¬μžλ“€μ²˜λŸΌ 이 μ—°κ΅¬λŠ” λŒ€λΆ€λΆ„ 자발적이며 λΉ„μƒμ—…μ μœΌλ‘œ μ§„ν–‰λ©λ‹ˆλ‹€.

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