[mlpack-git] [mlpack] Added DropConnect Layer and its tests.Fixes #413 (#552)

[abhinavchanda]

DropConnect Layer is based on Linear Layer, but with the difference that the weight matrix is multiplied by the random mask.I have also added tests, in which , the network architechture and size of hidden layer is same as that of the dropout layer in tests/feedforward_network_test.cpp.On my systems, the three tests are giving these classificationErrors: 
  Dropout         DropConnect
1 0.0729288    0.0729288
2 0.02              0.02
3 0.134           0.068
You can view, comment on, or merge this pull request online at:

  https://github.com/mlpack/mlpack/pull/552

-- Commit Summary --

  * Added drop_connect_layer.hpp. Fixes issue #413.
  * Added tests for drop_connect_layer.hpp

-- File Changes --

    A src/mlpack/methods/ann/layer/drop_connect_layer.hpp (382)
    M src/mlpack/tests/feedforward_network_test.cpp (128)

-- Patch Links --

https://github.com/mlpack/mlpack/pull/552.patch
https://github.com/mlpack/mlpack/pull/552.diff

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https://github.com/mlpack/mlpack/pull/552
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