Massively Deep Artificial Neural Networks for Handwritten Digit Recognition
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.
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