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CHAPTER 1강의시간36:42
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1주차 소개
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- 강의시간00:20
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Course Introduction
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- 강의시간08:20
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Introduction to Artificial Neural Networks
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- 강의시간12:50
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Perceptrons and Sigmoid Neurons
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- 강의시간15:12
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Chapter1 Quiz
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CHAPTER 2강의시간01:10:33
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2주차 소개
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- 강의시간00:23
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Introduction to Python
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- 강의시간28:15
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Computer Program Analysis, Part 1
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- 강의시간18:38
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Computer Program Analysis, Part 2
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- 강의시간23:17
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Chapter2 Quiz
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CHAPTER 3강의시간01:00:21
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3주차 소개
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- 강의시간00:35
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The MNIST Database
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- 강의시간16:43
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Basic Analysis of MNIST Code (for Handwriting Recognition)
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- 강의시간19:01
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Analysis of MNIST Code Using Code Modifications
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- 강의시간24:02
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Chapter3 Quiz
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CHAPTER 4강의시간58:44
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4주차 소개
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- 강의시간00:23
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Introduction to Backpropagation
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- 강의시간22:40
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More Analysis of Backpropagation
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- 강의시간16:41
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Analysis of Code for Backpropagation
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- 강의시간19:00
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Chapter4 Quiz
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CHAPTER 5강의시간56:01
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5주차 소개
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- 강의시간00:26
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Analysis of Computations in Backpropagation Code
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- 강의시간22:05
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Cost Functions and Regularization
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- 강의시간15:34
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Dropout, Data Augmentation, Hyperparameter Tuning, and Other Methods
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- 강의시간17:56
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Chapter5 Quiz
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CHAPTER 6강의시간01:14:11
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6주차 소개
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- 강의시간00:35
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Deep Neural Networks (DNNs)
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- 강의시간24:49
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Convolutional Neural Networks (CNNs)
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- 강의시간21:28
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Detailed Calculations for CNNs
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- 강의시간27:19
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Chapter6 Quiz
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Coming soon.