NIPS 2015 Sched. Check out the schedule for NIPS 2015

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  • On May 15th Yann LeCun answered “ask me anything” questions on Reddit. We hand-picked some of his thoughts and grouped them by topic for your enjoyment. Toronto, Montreal and New York All three groups are strong and complementary. Geoff...

  • Note: This is the final part of a detailed three-part series on machine translation with neural networks by Kyunghyun Cho. You may enjoy part 1 and part 2. In the previous post in this series, I introduced a simple encoder-decoder model for machine...

  • Evolution of Deep learning models
    via opengardensblog.futuretext

    Evolution of Deep learning models By Ajit Jaokar @ajitjaokar Data Science for Internet of Things Linkedin Ajit Jaokar PS – This paper is best downloaded as a free pdf  HERE Scope and approach This paper is a part of a series covering Deep Learning...

  • Bayesian Deep Learning
    via planet.scipy

    Neural Networks in PyMC3 estimated with Variational Inference (c) 2016 by Thomas Wiecki Current trends in Machine Learning There are currently three big trends in machine learning: Probabilistic Programming, Deep Learning and "Big Data". Inside of...

  •                                                            Image Analysis Using Tensor Flow By Nishank Biswas Tensor Flow is an open source software library which is designed to perform large-scale numerical computation under the frame work of sophisticatedly...

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