Deep Learning is Functional Programming

Functional Programming “Clojure“-based DeepLearning :

https://medium.com/towards-data-science/functional-programming-for-deep-learning-bc7b80e347e9

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Slashing Deep Learning Speed With Hashing

An old trick Hashing taking advantage of tjr inherent sparsity in Big Data to reduce 90% time without loss of > 1% accuracy in data.

For examples : in picture recognition, many data are blanks consists of background (scenario,  lighting), only less than 10% are striking pattern data which characterise the particular objects, like zebra trait, tiger body skin lines, elephant trunk, sunflower… when search data are stored in a matrix of billion columns and rows, 90% elements are 0.

https://m.phys.org/news/2017-06-scientists-slash-deep.html

Comparison of the Deep Learning Frameworks

https://www.infoq.com/presentations/comparison-deep-learning-frameworks

AI Best Deep Learning Framework

http://www.cio.com/article/3193689/artificial-intelligence/which-deep-learning-network-is-best-for-you.html

Deep Learning & Computational Linguistics

http://mitp.nautil.us/article/170/last-words-computational-linguistics-and-deep-learning

Deep Learning Quiz

https://www.analyticsvidhya.com/blog/2017/01/must-know-questions-deep-learning/