Using the latest advancements in AI to predict stock market movements 2019-01-13 21:31:18 This blog is copied from: https://github.com/borisbanushev/stockpredictionai In this notebook I will create a complete process for predicting stock price moveme…
NAS with RL 2017-ICLR-Neural Architecture Search with Reinforcement Learning Google Brain Quoc V . Le etc GitHub: stars Citation:1499 Abstract we use a recurrent network to generate the model descriptions of neural networks and train this RNN with re…
转自:http://blog.evjang.com/2017/01/nips2016.html Eric Jang Technology, A.I., Careers Monday, January 2, 2017 Summary of NIPS 2016 The 30th annual Neural Information Processing Systems (NIPS) conference took place in Barcelona…
Andrej Karpathy blog About Hacker's guide to Neural Networks Deep Reinforcement Learning: Pong from Pixels May 31, 2016 This is a long overdue blog post on Reinforcement Learning (RL). RL is hot! You may have noticed that computers can now automatica…
Long Papers [Domain adaptation ] 1. Adversarial Adaptation of Synthetic or Stale Data ( Cited by 14 ) Young-Bum Kim, Karl Stratos and Dongchan Kim Two types of data shift common in practice are 1. transferring from synthetic data to live user data (a…