opennn::BatchNorm Member List

This is the complete list of members for opennn::BatchNorm, including all inherited members.

active() const	opennn::BatchNorm	inline
apply_delta(const TensorView &input, const TensorView &mean, const TensorView &inverse_variance, TensorView &delta) const	opennn::BatchNorm
apply_inference(const TensorView &input, TensorView &output)	opennn::BatchNorm
apply_training(const TensorView &input, TensorView &mean, TensorView &inverse_variance, TensorView &output)	opennn::BatchNorm
beta	opennn::BatchNorm
beta_gradient	opennn::BatchNorm
destroy_cuda()	opennn::Operator	inlinevirtual
features	opennn::BatchNorm
forward_propagate(ForwardPropagation &fp, size_t layer, bool is_training) noexcept override	opennn::BatchNorm	virtual
from_JSON(const Json *parent) override	opennn::BatchNorm	virtual
gamma	opennn::BatchNorm
gamma_gradient	opennn::BatchNorm
init_defaults()	opennn::BatchNorm
input_slots	opennn::Operator
invalidate_inference_cache()	opennn::BatchNorm	inline
link_gradients(const vector< TensorView > &views) override	opennn::BatchNorm	virtual
link_parameters(const vector< TensorView > &views) override	opennn::BatchNorm	virtual
link_states(const vector< TensorView > &views) override	opennn::BatchNorm	virtual
load_state_from_JSON(const Json *parent) override	opennn::BatchNorm	virtual
momentum	opennn::BatchNorm
output_slots	opennn::Operator
parameter_specs() const override	opennn::BatchNorm	virtual
running_mean	opennn::BatchNorm
running_variance	opennn::BatchNorm
set(Index new_features, float new_momentum=0.1f)	opennn::BatchNorm
set_parameters_glorot() override	opennn::BatchNorm	inlinevirtual
set_parameters_random() override	opennn::BatchNorm	inlinevirtual
state_specs() const override	opennn::BatchNorm	virtual
to_JSON(JsonWriter &w) const override	opennn::BatchNorm	virtual
update_inference_cache()	opennn::BatchNorm
~Operator()=default	opennn::Operator	virtual