What my deep model doesn’t know…

@tachyeonz : I come from the Cambridge machine learning group. More than once I heard people referring to us as “the most Bayesian machine learning group in the world”. I mean, we do work with probabilistic models and uncertainty on a daily basis.

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Understanding The Limits Of Deep Learning

@tachyeonz : Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New A.I. startups pop up every day and claim to solve all your personal and business problems with machine learning.

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Game Theory Reveals the Future of Deep Learning

@tachyeonz : If you’ve been following my articles up to now, you’ll begin to perceive, what’s apparent to many advanced practitioners of Deep Learning (DL), is the emergence of Game Theoretic concepts in the design of newer architectures. This makes intuitive sense for two reasons.

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Tags : adversarial networks, deep learning, discriminant, game theory, gans, neural networks, unsupervised learning, yann le cun, z

Published On:January 05, 2017 at 01:17AM

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Twitter :@tachyeonz

What my deep model doesn’t know…

@tachyeonz : I come from the Cambridge machine learning group. More than once I heard people referring to us as “the most Bayesian machine learning group in the world”. I mean, we do work with probabilistic models and uncertainty on a daily basis.

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Tags : caffe, cambridge, conv.js, geoffrey hinton, karpathy, machine learning, models, uncertainity, yann le cun, z

Published On:January 03, 2017 at 04:20PM

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Deep Learning 2016: The Year in Review

@tachyeonz : In order to understand trends in the field, I find it helpful to think of developments in deep learning as being driven by three major frontiers that limit the success of artificial intelligence in general and deep learning in particular.

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Tags : deep learning, elon musk, gans, generative adversarial, intel, karpathy, nervana, neural networks, nvidia, open ai, reinforcement learning, research paper, russ salakhutdinov, technology, yann le cun, z

Published On:January 01, 2017 at 05:29PM

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NIPS 2016 Review, Day 1

@tachyeonz : Ever the scientists, the two organizers justified their choice on the program committee by maintaining that they want to grow the number submissions while decreasing bias and variance. They treated the problem with unknown ground truth of what the “best papers” were,

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Tags : artificial intelligence, cnn, conference, convolution neural net, deep learning, gans, lstm, m, machine learning, meta learning, meta models, nips2016, phased lstm, recurrent neuralnet, reinforcement learning, rnn, time series data, unsupervised learning, yann le cun

Published On:December 25, 2016 at 07:26PM

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