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machine_learning [2019/01/16 10:38] (current)
yehowshua created
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 +I am currently working on my Master'​s Thesis at Georgia Institute of Technology. I am exploring different architectures for Hardware Acceleration for Neural Networks and Machine Learning. Here are a few good introductory articles to help catch the beginner up to speed.
 +==== Signal Procesiing ====
 +  * [[http://​homepages.inf.ed.ac.uk/​rbf/​CVonline/​LOCAL_COPIES/​OWENS/​LECT4/​node2.html | Fourier Tansform and Orthogonal Bases]]
 +  * [[http://​homepages.inf.ed.ac.uk/​rbf/​CVonline/​LOCAL_COPIES/​OWENS/​LECT4/​node3.html | Discrete Fourier Transform]]
 +
 +==== Neural Architecture Overview ====
 +The following articles more or less address the same topics - but with different viewpoints. The last link is actually and online book.
 +  * [[ https://​ujjwalkarn.me/​2016/​08/​09/​quick-intro-neural-networks/​ | Link 1]]
 +  * [[ https://​ujjwalkarn.me/​2016/​08/​11/​intuitive-explanation-convnets/​ | Link 2]]
 +  * [[ http://​www.deeplearningbook.org | Online Book]]
 +
 +==== Statistical Analysis and Training ====
  
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