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You are here		petewarden.com Why GEMM is at the heart of deep learning « Pete Warden's blog
\|	\|	sander.ai My solution for the Galaxy Zoo challenge - Sander Dieleman	3.0 parsecs away Travel
\|	\|	My solution for the Galaxy Zoo challenge using convolutional neural networks	3.0 parsecs away Travel
\|	\|	michael-lewis.com A machine learning glossary for hackers · Michael I Lewis	3.4 parsecs away Travel
\|	\|	This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.	3.4 parsecs away Travel
\|	\|	colah.github.io Conv Nets: A Modular Perspective - colah's blog	2.7 parsecs away Travel
\|	\|	[AI summary] This article explains the architecture, mathematical formulation, and major breakthroughs of convolutional neural networks in the context of computer vision and pattern recognition.	2.7 parsecs away Travel
\|	\|	dennybritz.com Recurrent Neural Networks Tutorial, Part 1 - Introduction to RNNs · Denny's Blog	13.3 parsecs away Travel
\|		Recurrent Neural Networks (RNNs) are popular models that have shown great promise in manyNLP tasks.	13.3 parsecs away Travel