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An implementation (in R) of a not so usual "deep learning" architecture using K-Means and SVM

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This is an implementation in R of a deep learning framework proposed by [1] and applied here for classification of handwritten digits [2]

[1] Coates, A., Ng, A.Y.: Learning Feature Representations with K-means, G. Montavon, G. B. Orr, K.-R. uller (Eds.), Neural Networks: Tricks of the Trade, 2nd edn, Springer LNCS 7700, 2012

[2] The MNIST database of handwritten digits: Yann LeCun, Courant Institute, NYU; Corinna Cortes, Google Labs, New York; Christopher J.C. Burges, Microsoft Research, Redmond http://yann.lecun.com/exdb/mnist/

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An implementation (in R) of a not so usual "deep learning" architecture using K-Means and SVM

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