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Scoop.it!
Deep Learning is at the cutting edge of what machines can do, and developers and business leaders absolutely need to understand what it is and how it works. This unique type of algorithm has far surpassed any previous benchmarks for classification of images, text, and voice. 
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Scoop.it!
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely different beasts. Though all of these architectures are presented as novel and unique, when I drew the node structures… their underlying relations started to make more sense.
Farid Mheir's insight:
A reference chart of neural network architecture, with detailed explanation of each one. Very useful reference.
Scoop.it!
(credit: KurzweilAI) By Bob Gourley Courtesy of CTOvision.com Practical artificial intelligence has made its way out of the labs and into our daily
Farid Mheir's insight:
A reference list of tools that use deep learning and AI we use today.
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Curated by Farid Mheir
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WHY IT MATTERS: good introduction to a technology that will impact all our lives in the very near future.