Update README.md

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David Rotermund 2022-05-01 01:30:38 +02:00 committed by GitHub
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@ -76,6 +76,7 @@ noise_amplitude: float = 0.01,
) -> None: ) -> None:
For the generation of the initital weights. Switches between normal initial random weights and pooling weights. For the generation of the initital weights. Switches between normal initial random weights and pooling weights.
---
def **initialize_epsilon_xy**( def **initialize_epsilon_xy**(
self, self,
@ -83,20 +84,28 @@ eps_xy_intitial: float,
) -> None: ) -> None:
Creates initial epsilon xy matrices. Creates initial epsilon xy matrices.
---
def **set_h_init_to_uniform**(self) -> None: def **set_h_init_to_uniform**(self) -> None:
---
def **backup_epsilon_xy**(self) -> None: def **backup_epsilon_xy**(self) -> None:
def **restore_epsilon_xy**(self) -> None: def **restore_epsilon_xy**(self) -> None:
def **backup_weights(self)** -> None: def **backup_weights(self)** -> None:
def **restore_weights(self)** -> None: def **restore_weights(self)** -> None:
---
def **threshold_epsilon_xy**(self, threshold: float) -> None: def **threshold_epsilon_xy**(self, threshold: float) -> None:
def **threshold_weights**(self, threshold: float) -> None: def **threshold_weights**(self, threshold: float) -> None:
---
def **mean_epsilon_xy**(self) -> None: def **mean_epsilon_xy**(self) -> None:
---
def **norm_weights**(self) -> None: def **norm_weights**(self) -> None: