Difference between revisions of "Pattern Recognition"

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=== 강의노트 ===
 
=== 강의노트 ===
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1.  [[Media:Introduction_to_Computer_Vision.pdf|Computer Vision 소개]]
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2.  [[Media:Ch1_Machine_Leanring_AI.pdf|Machine Learning AI 소개]]
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3.  [[Media:Ch2_conventional_approach.pdf|전통적인 접근법]]
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4.  [[Media:Ch3_1_SVM-1.pdf|SVM-1]]
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5.  [[Media:Ch3_2_SVM-2.pdf|SVM-2]]
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6.  [[Media:Ch4_1_TensorFlow.pdf|TesnsorFlow로 NN 실험]]
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7.  [[Media:Ch4_2_TensorFlow_Regression.pdf|TensorFlow로 Regression 실험]]
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8.  [[Media:Ch5_1_CNN_motivation.pdf|CNN Motivation]]
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9.  [[Media:Ch5_2_AlexNet.pdf|AlexNet]]
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10. [[Media:Ch5_4_Understanding_CNN.pdf|Understanding CNN]]
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11. [[Media:Ch6_1_Backpropagation_1.pdf|Backpropagation-1]]
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12. [[Media:Ch6_2_Backpropagation_2.pdf|Backpropagation-2]]
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13. [[Media:Ch6_3_SGD.pdf|SGD]]
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14. [[Media:Ch7_1_Object_Detection.pdf|Object Detection]]
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15. [[Media:ch7_2_Object Segmentation.pdf|Object Segmentation]]
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16. [[Media:ch8_1_RNN.pdf|RNN]]
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17. [[Media:ch8_2_LSTM.pdf|LSTM]]
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18. [[Media:ch8_3_ Statistical Machine Translation.pdf|Statistical Machine Translation]]
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19. [[Media:ch10_1_Video processing.pdf|Video Processing]]
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20. [[Media:Ch11_1_Reinforcement_learning.pdf|Reinforcement Learning]]
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21. [[Media:Ch12-1_AlphaGo.pdf|AlphaGo]]
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[기타]
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1. [[Media:0_Transposed convolution.pdf|Transposed Convolution]]
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2. [[Media:1_Word Embedding.pdf|Word Embedding]]
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3. [[Media:2_Transfer Learning.pdf|Transfer Learning]]

Latest revision as of 12:52, 12 June 2017

[edit] 강의노트

1. Computer Vision 소개

2. Machine Learning AI 소개

3. 전통적인 접근법

4. SVM-1

5. SVM-2

6. TesnsorFlow로 NN 실험

7. TensorFlow로 Regression 실험

8. CNN Motivation

9. AlexNet

10. Understanding CNN

11. Backpropagation-1

12. Backpropagation-2

13. SGD

14. Object Detection

15. Object Segmentation

16. RNN

17. LSTM

18. Statistical Machine Translation

19. Video Processing

20. Reinforcement Learning

21. AlphaGo


[기타]

1. Transposed Convolution

2. Word Embedding

3. Transfer Learning

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