Created
April 30, 2019 11:02
-
-
Save gokulsan/013f2c26ff8b486cf197d0aeb6ba7553 to your computer and use it in GitHub Desktop.
Research Perspectives on Generational Adversarial Neural Networks and Deep Reinforcement Learning
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Telecom Fraud Detection Using GAN for Banking Industry | |
| https://www.sciencedirect.com/science/article/pii/S0893608018300698 | |
| Continous Recurrent Neural Networks with Adversarial Training | |
| http://mogren.one/publications/2016/c-rnn-gan/mogren2016crnngan.pdf | |
| Jupyter Notebooks for DRN and GAN | |
| https://insights.untapt.com/deep-reinforcement-learning-and-generative-adversarial-networks-tutorials-with-jupyter-notebooks-6ef4dc6957ea | |
| Live Lessons | |
| https://www.oreilly.com/library/view/deep-reinforcement-learning/9780135171233/ |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment