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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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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Caffe – A deep learning framework (Ramin Fahimi)

@tachyeonz : Upcoming SlideShare Loading in …5 × Caffe – A deep learning framework (Ramin Fahimi) 1. Caffe: Deep learning Framework Ramin Fahimi PyCon 2016 , IUST Many contents has been taken from Caffe CVPR’15 tutorial and CS231n lectures, Stanford. 2.

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The Anatomy of Deep Learning Frameworks

@tachyeonz : Deep Learning, whether you like it or not is here to stay, and with any tech gold-rush comes a plethora of options that can seem daunting to newcomers.

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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.

More

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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