MXNet – Deep Learning Framework of Choice at AWS

@tachyeonz : Machine learning is playing an increasingly important role in many areas of our businesses and our lives and is being employed in a range of computing tasks where programming explicit algorithms is infeasible.

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Machine Learning Wars

@tachyeonz : Published at: Dec. 12, 2016, 1:33 p.m. | Author: Piotr Płoński Herein the performance of MLJAR on Kaggle dataset from “Give me some credit” challenge is reported. The obtained results are compared with other predictive APIs from Amazon, Google, PredicSis and BigML.

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Deep Learning Frameworks of 2017 Jan

@tachyeonz : Chainer is a deep learning framework that’s designed on the principle of define-by-run. Unlike frameworks that use the define-and-run approach, Chainer lets you modify networks during runtime, allowing you to use arbitrary control flow statements.

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Personalization and Scalable Deep Learning with MXNET

@tachyeonz : The presentation below by Alex Smola is “Personalization and Scalable Deep Learning with MXNET” from the MLconf San Francisco, 2016. User return times and movie preferences are inherently time dependent.

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These Were The Best Machine Learning Breakthroughs Of 2016

@tachyeonz : What were the main advances in machine learning/artificial intelligence in 2016? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights.

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Tags : 2016, breakthroughs, cntk, deep learning, dntk, gans, generative adversarial, innovations, lstm, machine learning, mxnet, neural networks, nips2016, probabilistic models, probabilistic programming, statistics, wavenet, z

Published On:January 04, 2017 at 04:25PM

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5 deep learning startups to follow in 2017

@tachyeonz : If artificial intelligence (AI) hadn’t hit the mainstream before, it did this year. Google chief executive Sundar Pichai came through with the best sound bite, saying that the world is going from being “mobile-first” to “AI-first.”

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Tags : 2017, bay labs, cerebras systems, deep learning, deep vision, future, graphcore, imagenet, medical imaging, mxnet, promising, startups, visenze, z

Published On:January 04, 2017 at 01:19AM

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The Meta Model and Meta Meta-Model of Deep Learning

@tachyeonz : The model for deep learning consists of a computational graph that are most conveniently constructed by composing layers with other layers. Most introductory texts emphasize the individual neuron, but in practice it is the collective behavior of a layer of neurons that is important.

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Tags : computational graphs, deep learning, gan, keras, m, machine learning, meta models, mxnet, nervana, neural networks, object oriented design, tensorflow, uml, unified modeling language

Published On:December 25, 2016 at 01:01AM

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MXNet – Deep Learning Framework of Choice at AWS

@tachyeonz : Machine learning is playing an increasingly important role in many areas of our businesses and our lives and is being employed in a range of computing tasks where programming explicit algorithms is infeasible.

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Tags : #amazon, #aws, #comparison, #mxnet, m

Published On:November 26, 2016 at 10:57PM

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Amazon Has Chosen This Framework to Guide Deep Learning Strategy

@tachyeonz : As artificial intelligence advances, the goal for modern tech companies is to build AI software that thinks for itself without human intervention.

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Tags : #amazon, #aws, #deeplearning, #mxnet, #news, #strategy, m

Published On:November 25, 2016 at 09:12AM

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