<p>In <a href="https://github.com/mlpack/mlpack/pull/757#discussion_r73979743">src/mlpack/methods/ann/layer/concat_layer.hpp</a>:</p>
<pre style='color:#555'>> + {
> + ForwardTail(layers, output);
> + }
> +
> + template<size_t I = 0, typename DataType, typename... Tp>
> + typename std::enable_if<I == sizeof...(Tp), void>::type
> + ForwardTail(std::tuple<Tp...>& layers, DataType& output)
> + {
> + /* Nothing to do. */
> + }
> +
> + template<size_t I = 0, typename DataType, typename... Tp>
> + typename std::enable_if<I < sizeof...(Tp), void>::type
> + ForwardTail(std::tuple<Tp...>& layers, DataType& output)
> + {
> + output = arma::join_slices(output, std::get<I>(layers).OutputParameter());
</pre>
<p>The problem I see here is, that it only works if we use cubes as output type. We could use template specializations to distinguish between arma::mat and arma::cube what do you think?</p>
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