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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://postech.edwith.org/hardware-systems-p1
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Instructor Introduction

  • 이승구 교수

    - [소    속] 현) Pohang University of Science and Technology (POSTECH)
    - [최종학력] PhD, May 1990 – University of Michigan, U.S.A.
    - [주요저서]
    1. Sunggu Lee, Gabor Karsai, Peter Puschner, and Joe Loyall, Proceedings of the IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, IEEE Computer Society, June 2014.
    2. S. Lee, Advanced Digital Logic Design Using Verilog, State Machines, and Synthesis for FPGAs, Thomson, Toronto, 2006.

Lecture plan

강의
  1. CHAPTER 1
    1. 1주차 소개
    1. Course Introduction
    1. Introduction to Artificial Neural Networks
    1. Perceptrons and Sigmoid Neurons
    1. Chapter1 Quiz
  2. CHAPTER 2
    1. 2주차 소개
    1. Introduction to Python
    1. Computer Program Analysis, Part 1
    1. Computer Program Analysis, Part 2
    1. Chapter2 Quiz
  3. CHAPTER 3
    1. 3주차 소개
    1. The MNIST Database
    1. Basic Analysis of MNIST Code (for Handwriting Recognition)
    1. Analysis of MNIST Code Using Code Modifications
    1. Chapter3 Quiz
  4. CHAPTER 4
    1. 4주차 소개
    1. Introduction to Backpropagation
    1. More Analysis of Backpropagation
    1. Analysis of Code for Backpropagation
    1. Chapter4 Quiz
  5. CHAPTER 5
    1. 5주차 소개
    1. Analysis of Computations in Backpropagation Code
    1. Cost Functions and Regularization
    1. Dropout, Data Augmentation, Hyperparameter Tuning, and Other Methods
    1. Chapter5 Quiz
  6. CHAPTER 6
    1. 6주차 소개
    1. Deep Neural Networks (DNNs)
    1. Convolutional Neural Networks (CNNs)
    1. Detailed Calculations for CNNs
    1. Chapter6 Quiz

Additional Info

교재: 교재 없음 (강의노트 제공)