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MLask 1.0.0
A custom c++ deep learning library
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#include <Eigen/Core>#include <stdfloat>#include <cstddef>#include <cstdint>

Go to the source code of this file.
Namespaces | |
| namespace | mlask |
Typedefs | |
| using | mlask::float_t = float |
| using | mlask::size_t = std::size_t |
| using | mlask::int_t = std::int32_t |
| using | mlask::uint_t = std::uint32_t |
| using | mlask::vectorIn = Eigen::Matrix< float_t, Eigen::Dynamic, 1 > |
| using | mlask::vectorOut = Eigen::Matrix< float_t, Eigen::Dynamic, 1 > |
| using | mlask::err_function = float_t(*)(float_t, float_t) |
| using | mlask::actfunc = std::function< float_t(float_t)> |