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No.70 - 인공지능 딥러닝 기술 소개 및 사례
MP3•Episode home
Manage episode 182534424 series 1213481
Content provided by Tae Wook. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tae Wook or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
안녕하세요. 오늘은 지난 시간에 이어, 몇 년사이에 큰 이슈가 되고 있는 인공지능 딥러닝에 대한 이야기를 간략히 소개해 보겠습니다. 이 내용은 BIM학회에 '인공지능 딥러닝 기술 동향 및 구현 사례'로 소개된 글의 일부 내용입니다. CNN, RNN, LSTM, GAN과 같은 대표적인 딥러닝 신경망 종류 및 3차원 스캔과 관련된 CNN활용 사례 등을 소개합니다.
No.70 Podcast 방송 - 인공지능 딥러닝 기술 소개 및 사례
1. Daddy maker, 텐서플로우 최신버전 설치 및 개념
2. Daddy maker, 텐서플로우 MNIST 딥러닝 및 텐서보드 그래프 가시화
3. BIM principle, 2017, 페이스북 딥러닝 CNN 기반 오픈소스 번역 기술 CSSL
4. 딥러닝 Hello World - MNIST, CIFAR-10 데이터베이스 구조와 이미지넷
5. Konstantin Lackner, 2016, Composing a melody with long-short term memory (LSTM) Recurrent Neural Networks, Institute for Data
Processing Technische Universitat Munchen
6. Patrick Hebron, 2016, Unsupervised Learning, patrickhebron.com
7. Alec Radford & Luke Metz, Soumith Chintala, 2016, Unsupervised Representation Learning with Deep Convolutional Generative
Adversarial Network
8. Adam Santoro외, 2017, A simple neural network module for relational reasoning, DeepMind
9. Microsoft, Going Deep: Convolutional Neural Networks
10. The Asimov Institute, 2016, THE NEURAL NETWORK ZOO
11. Adit Deshpande, 2016, The 9 Deep Learning Papers You Need To Know About CNN
12. Adrian Rosebrock, 2016, My Top 9 Favorite Python Deep Learning Libraries
13. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin, 2017.5, A novel approach to neural machine translation,
FAIR(Facebook AI Research Group)
14. Adit Deshpande, A Beginner's Guide To Understanding Convolutional Neural Networks, UCLA
15. Rob Verger, 2017.5, Facebook created a faster, more accurate translation system using artificial intelligence, Popular Science
16. James Vincent, 2017.5.9, Facebook says its prototype translation technique is nine times faster than rivals, THE VERGE
17. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin, 2017.5, Convolutional Sequence to Sequence Learning,
FAIR(Facebook AI Research Group)
18. Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas, 2016, PointNet: Deep Learning on Point Sets for 3D Classification and
Segmentation
19. Sepp H., Jurgen S, 1997, Long short-term memory, Neural Computation. 9 (8) ,pp.1735–1780
20. Goodfellow. Ian J, Pouget-Abadie. J, Mirza. M, Xu. Bing, Warde-Farley. David, Ozair. Sherjil, Courville. Aaron, Bengio. Yoshua, 2014,
Generative Adversarial Networks
78 episodes
MP3•Episode home
Manage episode 182534424 series 1213481
Content provided by Tae Wook. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tae Wook or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
안녕하세요. 오늘은 지난 시간에 이어, 몇 년사이에 큰 이슈가 되고 있는 인공지능 딥러닝에 대한 이야기를 간략히 소개해 보겠습니다. 이 내용은 BIM학회에 '인공지능 딥러닝 기술 동향 및 구현 사례'로 소개된 글의 일부 내용입니다. CNN, RNN, LSTM, GAN과 같은 대표적인 딥러닝 신경망 종류 및 3차원 스캔과 관련된 CNN활용 사례 등을 소개합니다.
No.70 Podcast 방송 - 인공지능 딥러닝 기술 소개 및 사례
1. Daddy maker, 텐서플로우 최신버전 설치 및 개념
2. Daddy maker, 텐서플로우 MNIST 딥러닝 및 텐서보드 그래프 가시화
3. BIM principle, 2017, 페이스북 딥러닝 CNN 기반 오픈소스 번역 기술 CSSL
4. 딥러닝 Hello World - MNIST, CIFAR-10 데이터베이스 구조와 이미지넷
5. Konstantin Lackner, 2016, Composing a melody with long-short term memory (LSTM) Recurrent Neural Networks, Institute for Data
Processing Technische Universitat Munchen
6. Patrick Hebron, 2016, Unsupervised Learning, patrickhebron.com
7. Alec Radford & Luke Metz, Soumith Chintala, 2016, Unsupervised Representation Learning with Deep Convolutional Generative
Adversarial Network
8. Adam Santoro외, 2017, A simple neural network module for relational reasoning, DeepMind
9. Microsoft, Going Deep: Convolutional Neural Networks
10. The Asimov Institute, 2016, THE NEURAL NETWORK ZOO
11. Adit Deshpande, 2016, The 9 Deep Learning Papers You Need To Know About CNN
12. Adrian Rosebrock, 2016, My Top 9 Favorite Python Deep Learning Libraries
13. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin, 2017.5, A novel approach to neural machine translation,
FAIR(Facebook AI Research Group)
14. Adit Deshpande, A Beginner's Guide To Understanding Convolutional Neural Networks, UCLA
15. Rob Verger, 2017.5, Facebook created a faster, more accurate translation system using artificial intelligence, Popular Science
16. James Vincent, 2017.5.9, Facebook says its prototype translation technique is nine times faster than rivals, THE VERGE
17. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin, 2017.5, Convolutional Sequence to Sequence Learning,
FAIR(Facebook AI Research Group)
18. Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas, 2016, PointNet: Deep Learning on Point Sets for 3D Classification and
Segmentation
19. Sepp H., Jurgen S, 1997, Long short-term memory, Neural Computation. 9 (8) ,pp.1735–1780
20. Goodfellow. Ian J, Pouget-Abadie. J, Mirza. M, Xu. Bing, Warde-Farley. David, Ozair. Sherjil, Courville. Aaron, Bengio. Yoshua, 2014,
Generative Adversarial Networks
78 episodes
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