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Fixed typo in MATLAB docs
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mp4096 committed Dec 31, 2015
1 parent e4bb033 commit c5368b5
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4 changes: 2 additions & 2 deletions AdaGrad.m
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% without additional effort.
%
% `idxSG` is a row vector or a matrix which columns specify the indices of
% the stochastic gradient to be use at each iteration. If `idxSG` has fewer
% columns than `nIter`, it is repeating to the required size.
% the stochastic gradient should be used at each iteration. If `idxSG` has
% fewer columns than `nIter`, it is repeating to the required size.
%
% Normally, one would generate `idxSG` with `randi`, e.g. `idxSG =
% randi(<maxIdx>, 1, nIter);`.
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4 changes: 2 additions & 2 deletions AdaGradDecay.m
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% without additional effort.
%
% `idxSG` is a row vector or a matrix which columns specify the indices of
% the stochastic gradient to be use at each iteration. If `idxSG` has fewer
% columns than `nIter`, it is repeating to the required size.
% the stochastic gradient should be used at each iteration. If `idxSG` has
% fewer columns than `nIter`, it is repeating to the required size.
%
% Normally, one would generate `idxSG` with `randi`, e.g. `idxSG =
% randi(<maxIdx>, 1, nIter);`.
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4 changes: 2 additions & 2 deletions Adadelta.m
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% without additional effort.
%
% `idxSG` is a row vector or a matrix which columns specify the indices of
% the stochastic gradient to be use at each iteration. If `idxSG` has fewer
% columns than `nIter`, it is repeating to the required size.
% the stochastic gradient should be used at each iteration. If `idxSG` has
% fewer columns than `nIter`, it is repeating to the required size.
%
% Normally, one would generate `idxSG` with `randi`, e.g. `idxSG =
% randi(<maxIdx>, 1, nIter);`.
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4 changes: 2 additions & 2 deletions Adam.m
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% without additional effort.
%
% `idxSG` is a row vector or a matrix which columns specify the indices of
% the stochastic gradient to be use at each iteration. If `idxSG` has fewer
% columns than `nIter`, it is repeating to the required size.
% the stochastic gradient should be used at each iteration. If `idxSG` has
% fewer columns than `nIter`, it is repeating to the required size.
%
% Normally, one would generate `idxSG` with `randi`, e.g. `idxSG =
% randi(<maxIdx>, 1, nIter);`.
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4 changes: 2 additions & 2 deletions Adamax.m
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% without additional effort.
%
% `idxSG` is a row vector or a matrix which columns specify the indices of
% the stochastic gradient to be use at each iteration. If `idxSG` has fewer
% columns than `nIter`, it is repeating to the required size.
% the stochastic gradient should be used at each iteration. If `idxSG` has
% fewer columns than `nIter`, it is repeating to the required size.
%
% Normally, one would generate `idxSG` with `randi`, e.g. `idxSG =
% randi(<maxIdx>, 1, nIter);`.
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4 changes: 2 additions & 2 deletions VanillaSGD.m
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% without additional effort.
%
% `idxSG` is a row vector or a matrix which columns specify the indices of
% the stochastic gradient to be use at each iteration. If `idxSG` has fewer
% columns than `nIter`, it is repeating to the required size.
% the stochastic gradient should be used at each iteration. If `idxSG` has
% fewer columns than `nIter`, it is repeating to the required size.
%
% Normally, one would generate `idxSG` with `randi`, e.g. `idxSG =
% randi(<maxIdx>, 1, nIter);`.
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