Re: ambiguous overloaded function.
On Dec 7, 11:11 am, "Alex Blekhman" <tkfx.REM...@yahoo.com> wrote:
How do you declare `MultiLayerNeuron'?
So show the declaration of `multiLayerExample' template and
provide concise example that can be compiled. Otherwise,
your code works perfectly for me.
this is inside trainexample.hpp.
* trait class for multilayer example
* mapInOut represent each indivdual examples
* key: CONT<T>, value: CONT<T>
template <typename T,
template <typename ELEM, typename = std::allocator<ELEM> >
typedef CONT<T> vecT;
typedef typename std::map<CONT<vecT>, vecT> mapInOut;
Both backprogation.hpp and backpropagation.cpp includes
trainexample.hpp with external include guards.
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