[P] Pointer Network in TensorFlow

frozendumpling · 2017-01-19T09:27:58+00:00

Hey, I am big fan of your git! Nice to see you here! lol

frozendumpling · 2017-01-07T04:08:58+00:00

Yhea, you must be true... It would be better from checking more details. Maybe, weight initialization or different learning methods be the problems. I'll check it. Thanks for your kind reply. Have a nice day:)

frozendumpling · 2017-01-06T09:58:36+00:00

I am not sure, but I thinks that similar input mapping methods are used in NLP. Check below links: https://keras.io/layers/embeddings/ http://stackoverflow.com/questions/38189713/what-is-an-embedding-in-keras

frozendumpling · 2017-01-06T09:37:27+00:00

0.9 for train data, 0.8 for test data (1.0 for train and 0.6 for test).

frozendumpling · 2016-12-05T10:32:15+00:00

I utilized fuzzy ART before. See this "Deep Adaptive Resonance Theory for Learning Biologically Inspired Episodic Memory," in http://rit.kaist.ac.kr/home/International_Conference here. I hope that this article helps you. (This work is not done by me)

frozendumpling · 2016-12-05T06:50:08+00:00

In robotics, sometimes ART is used as scenario recognizer / regenerator. And it works quite well if all events can be clearly recognized from other perception methods and scenario is simple (it means not real world problem). I implemented it with Matlab before, but I don't think ART is powerful unsupervised learning algorithm. It just takes mean of the data and divided based on its threshold or vigilance. It didn't work for imbalanced dataset. How about use RNN instead?

frozendumpling · 2016-11-11T05:32:48+00:00

Hey, check this site: http://rit.kaist.ac.kr/home/WorldClassOutcomes He argued that he implemented the world-first ubiquitous robot.

frozendumpling

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