Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

07/17/2015

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by   Keiron O'Shea, et al.

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Greedy Restrictive Boltzmann Machines yield an fairly low 0.72 the famous MNIST database of handwritten digits. All that was required to achieve this result was a high number of hidden layers consisting of many neurons, and a graphics card to greatly speed up the rate of learning.