소개된 부분에 대한 좀 더 상세한 내용은 다음 레퍼런스에서 확인할 수 있습니다.

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

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