Showing posts with the label deep learning

Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016

You might go to a cutting-edge machine learning research conference like NIPS hoping to find some m…

Making Deep Networks Probabilistic via Test-time Dropout

In Quantum Mechanics, Heisenberg's Uncertainty Principle states that there is a fundamental lim…

Deep Learning Trends @ ICLR 2016

Started by the youngest members of the Deep Learning Mafia [1], namely  Yann LeCun and Yoshua Beng…

The Deep Learning Gold Rush of 2015

In the last few decades, we have witnessed major technological innovations such as personal compute…

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