pydeepity
Python bindings for Deepity
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deepity.DKPPCN.DKPPCN Member List

This is the complete list of members for deepity.DKPPCN.DKPPCN, including all inherited members.

__init__(self, *Layer|Activation architecture, Optional[int] batch_size=None, str device="cpu")deepity.DKPPCN.DKPPCN
_build_backend(self)deepity.DKPPCN.DKPPCNprotected
_feedback_ratedeepity.DKPPCN.DKPPCNprotected
_inference_ratedeepity.DKPPCN.DKPPCNprotected
_lambdadeepity.DKPPCN.DKPPCNprotected
_learning_ratedeepity.DKPPCN.DKPPCNprotected
_optimizerdeepity.DKPPCN.DKPPCNprotected
_psi_optimizerdeepity.DKPPCN.DKPPCNprotected
_require_configured(self)deepity.DKPPCN.DKPPCNprotected
_terminal_size(self)deepity.DKPPCN.DKPPCNprotected
_validate_architecture(self)deepity.DKPPCN.DKPPCNprotected
architecturedeepity.DKPPCN.DKPPCN
compile(self)deepity.DKPPCN.DKPPCN
configure(self, float learning_rate=1e-6, float inference_rate=0.1, float feedback_rate=1e-4, float lmbda=1e-2, str optimizer="SGD", str psi_optimizer="SGD")deepity.DKPPCN.DKPPCN
devicedeepity.DKPPCN.DKPPCN
fit(self, npt.NDArray[np.float32] X, npt.NDArray[np.float32] Y, int epochs, int inference_steps=1, Optional[float] initial_lr=None, float decay_rate=1.0, bool shuffle=True)deepity.DKPPCN.DKPPCN
layersdeepity.DKPPCN.DKPPCN
predict(self, npt.NDArray[np.float32] X, int inference_steps=1)deepity.DKPPCN.DKPPCN
randomize_weights(self, Optional[int] seed=None, str dist="normal")deepity.DKPPCN.DKPPCN
set_feedback_rate(self, float feedback_rate)deepity.DKPPCN.DKPPCN
set_inference_rate(self, float inference_rate)deepity.DKPPCN.DKPPCN
set_learning_rate(self, float learning_rate)deepity.DKPPCN.DKPPCN
set_optimizer(self, str optimizer)deepity.DKPPCN.DKPPCN
set_psi_optimizer(self, str optimizer)deepity.DKPPCN.DKPPCN
train_step(self, npt.NDArray[np.float32] X, npt.NDArray[np.float32] Y, int inference_steps=1)deepity.DKPPCN.DKPPCN