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dsaint31x/mkdocs_site

Home
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CE
CE
- Basic I
  Basic I
  - ch00: Introduction
    ch00: Introduction
    
    What is a Computer?
    
    컴퓨터 분류.
    
    Computer 주요구성요소
    
    History
  - ch01: Network and Internet
    ch01: Network and Internet
    
    The History of Data Communication Network
    
    Ethernet, Router, Switch and so on
    
    Internet and Related Protocols
    
    Web Browser
  - ch02: CLI and Standard I/O
    ch02: CLI and Standard I/O
    
    Command Line Interface
    
    Standard I/O Library
- Basic II
  Basic II
  - ch01: Representation of Data
    ch01: Representation of Data
    
    Data Representation
    
    Information
    
    Bit
    
    MSB and LSB
    
    Units for bit.
    
    Boolean Algebra
    
    SI Prefixes and IEC Binary Prefixes
    
    internal repr.
    internal repr.
    
    Numeral System
    
    양의 정수 표현하기
    
    Negative Number
    
    Overflow and Underflow
    
    Real Number
    
    external repr.
    external repr.
    
    Code for Number (Symbol)
    
    Codes for Characters
    
    Encodings
  - ch02: Bits and Combinatorial Logic
    ch02: Bits and Combinatorial Logic
    
    H/W for Bits
    
    Building Hardware for Bits
    
    Relay
    
    Vacuum Tubes
    
    Transistor
    
    Integrated Circuit
    
    Gate에 대해서
    
    Noise와 싸우기
    
    Propagation Delay
    
    Gate Outputs
    
    Totem-pole Output
    
    Open-Collector Output
    
    Tri-State Output
    
    Gate들을 이용한 보다 복잡한 회로들.
    
    Adder
  - ch03: Sequential Logic and Memory
    ch03: Sequential Logic and Memory
    
    Overview
    
    Oscillator
    
    Latch
    
    Filp-Flops
    
    Counter
    
    Register
    
    HW vs SW
- ch04: Computer Architecture
  ch04: Computer Architecture
  - Intro
    Intro
    
    Computer Architecture
  - Memory
    Memory
    
    memory summary
    
    memory 기초
    
    RAM
    
    ECC Memory
    
    ROM
    
    Block Device
    
    Flash Memory
    
    Address and Memory
    
    Byte Ordering: Little Endian and Big Endian
  - CPU
    CPU
    
    CPU Summary
    
    Arithmetic and Logic Unit, Shifter, and Control Unit
    
    Instruction Sets
    
    명령어 수행: Fetch and Execute
    
    Signal Traffic Control
    
    RISC vs. CISC
    
    Parallel Computing
    Parallel Computing
    
    Parallel Computing
    
    GPU and TPU
    
    Cluster System
    
    Grid Computing System
    
    Multi-processor System
    
    GPGPU System
    
    병렬 컴퓨팅을 위한 주요 프로그래밍 모델과 프레임워크
  - I/O Device and Bus
    I/O Device and Bus
    
    Bus
    
    I/O Control
    
    I/O Device
    
    Data Transfer
    Data Transfer
    
    Port
    
    IO Ports
    
    Push Btns
    
    FND
    
    IO Mux
    
    Duty Cycle
    
    Gray Code
    
    Parallel Transfer
    
    Serial Transfer
    
    USB
  - others
    others
    
    Computer Architecture
    
    Function in the Programming
    
    Recursive Call and Data Structures
    
    Interrupt and Polling
    
    Index Register and Relative Addressing
    
    MMU
    
    Virtual Memory
    
    Dual Mode: System Mode vs. User Mode
- Programming Language
  Programming Language
  - 기본 개념
    기본 개념
    
    Programming Language
    
    Low level language vs. High level language
    
    Compiler vs Interpreter
  - 중고급 개념
    중고급 개념
    
    Library, Shared Library, Dynamic Linking
    
    gcc: Static Linking
    
    gcc: Dynamic Linking
  - 종류
    종류
    
    Machine Code
    
    Assembly Language
    
    High Level Programming Language
- 작성중
  작성중
OS
OS
- Operating System
- basic
  basic
- Process
  Process
- Memory
  Memory
  - MMU
- File System
  File System
markdown and LaTeX
markdown and LaTeX
- Markdown
- LaTeX
OOP
OOP
- OOP and Programming Paradigm
  OOP and Programming Paradigm
- OOP Details
  OOP Details
- OOP Etc
  OOP Etc
  - Setter and Getter
- OOP Summary
- python
  python
  - Python의 Class (차이점)
  - Python의 Encapsulation
Python
Python
DIP
DIP
- OpenCV: Gui Features in OpenCV
  OpenCV: Gui Features in OpenCV
- OpenCV: Core Operations
  OpenCV: Core Operations
- OpenCV: Image Processing
  OpenCV: Image Processing
- OpenCV: etc
  OpenCV: etc
- Image Feature
  Image Feature
ML
ML
- ML: Basic
  ML: Basic
  - Introduction
    Introduction
    
    AI, ML and DL.
    
    참고자료 : AI의 시작 ...
    
    Machine Learning (ML)이란?
    
    Why Use Machine Learning
    
    Categories of ML
    
    Supervised Learning
    
    Unsupervised Learning
    
    Semi-supervised Learning
    
    Self-supervised Learning
    
    Reinforcement Learning (강화학습)
    
    관련 용어들
    
    Instance based Learning
    
    Model based Learning
    
    Model이란?
    
    Online Learning
    
    Batch Learning
    
    ML의 주요 단계와 성공을 위해 고려해야하는 요소
  - Colab
    Colab
    
    Colab
    
    Colab의 구성
    
    Colab : Hotkeys
    
    Colab: GPU 사용하기
  - Ex: End_to_End Learning
    Ex: End_to_End Learning
    
    [ML] Classic Regressor (Summary)
    
    train_test_split 사용하기.
    
    Cross Validation
  - Linear Regression and Logistic Regression
    Linear Regression and Logistic Regression
    
    Logistic Regression
  - Classification
    Classification
    
    Types of Classification
    
    Performance Measures for Classifiers
    
    [ML] Classic Classifier (Summary)
  - Optimizers
    Optimizers
    
    Optimizers
    
    Momentum
    
    Nesterov Accelerated Gradient
    
    Adaptive Gradient (AdaGrad)
    
    Root Mean Square Propagation (RMSProp)
    
    Adam Optimizer
    
    NAdam
    
    AdamW Optimizer
  - Ensemble Learning
    Ensemble Learning
    
    Ensemble
    
    Stacking
  - Dimensionality Reduction
    Dimensionality Reduction
    
    Principal Component Analysis
    
    Multi-Dimensional Scaling (MDS)
  - Unsupervised Learning
    Unsupervised Learning
    
    Clustering (군집)
    
    Manifold and Manifold Learning
    
    Topological Space (위상공간)
    
    t-distributed Stochastic Neighbor Embedding (t-SNE)
- DL
  DL
  - Deep Learning (simple)
    Deep Learning (simple)
    
    ANN 역사
    ANN 역사
    
    Early Artificial Neural Networks
    
    Perceptron and MLPClassifier
    
    MLPRegressor
    
    Backpropagation
    Backpropagation
    
    Back propagation (역전파, 오차 역전파)
    
    Reverse-Mode Autodiff (Auto-Differentiation)
    
    Graph
    
    How to stabilize gradient
    How to stabilize gradient
    
    Solutions for the Gradient Vanishing or Exploding Problem
    
    weight init. & activation func.
    weight init. & activation func.
    
    Weight Initialization
    
    Rectified Linear Unit (ReLU)
    
    Exponential Linear Unit (ELU)
    
    Sigmoid Linear Unit (SiLU) - from GELU to Mish
    
    Batch Normalization 정리
    
    dropout
    
    Gradient Clipping
    
    Transfer Learning
  - PyTorch Basics
    PyTorch Basics
    
    PyTorch로 직접 구현해보는 Linear Regression
  - Hyperparameter Tuning
    Hyperparameter Tuning
    
    Keras Tuner
    
    Hyper-Parameters in Deep Learning
    
    Learning Rate Tuning and Scheduling
    
    Batch Size
- DL Architectures
  DL Architectures
SS
SS
- z-Transform
  z-Transform
  - Time Shift : Properties of z-Transform
Material Test
Material Test
- code blk

Operating System¶

2024년 5월 8일 2024년 5월 8일

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