Deep Learning Algorithm Implementations 1.0.0
C++ implementations of fundamental deep learning algorithms
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This is the complete list of members for dl::optimization::AdamW< T >, including all inherited members.
AdamW(std::vector< Variable< T > * > parameters, T lr=1e-3, T beta1=0.9, T beta2=0.999, T eps=1e-8, T weight_decay=1e-2) | dl::optimization::AdamW< T > | |
AutogradOptimizer(std::vector< Variable< T > * > parameters) | dl::optimization::AutogradOptimizer< T > | inlineexplicit |
get_lr() const override | dl::optimization::AdamW< T > | inlinevirtual |
parameters_ | dl::optimization::AutogradOptimizer< T > | protected |
set_lr(T lr) override | dl::optimization::AdamW< T > | inlinevirtual |
step() override | dl::optimization::AdamW< T > | virtual |
zero_grad() | dl::optimization::AutogradOptimizer< T > | inlinevirtual |
~AutogradOptimizer()=default | dl::optimization::AutogradOptimizer< T > | virtual |