#include <optimizer.hpp>
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| gradient_descent (Loss &loss, std::size_t batch_size, T learning_rate=1.0e-3, T momentum=0.0) noexcept |
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void | forward () |
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◆ tensor_type
template<typename Loss , typename T >
◆ gradient_descent()
template<typename Loss , typename T >
◆ forward()
template<typename Loss , typename T >
◆ learning_rate_
template<typename Loss , typename T >
◆ loss_
template<typename Loss , typename T >
◆ momentum_
template<typename Loss , typename T >
The documentation for this struct was generated from the following file: