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autoencoder/activations.py
2026-04-01 22:32:35 +02:00

36 lines
622 B
Python

import numpy as np
from abc import ABC, abstractmethod
class ActivationFunc(ABC):
@abstractmethod
def d(v: np.ndarray) -> np.ndarray:
pass
class ReLU(ActivationFunc):
def __call__(self, x):
return x * (x > 0)
def d(self, x):
return x > 0
class LeakyReLU(ActivationFunc):
def __init__(self, k=0.01):
self.k = k
def __call__(self, x):
return x * (x > 0) + self.k * x * (x <= 0)
def d(self, x):
return (x > 0) + self.k * (x <= 0)
class Identity(ActivationFunc):
def __call__(self, x):
return x
def d(x):
return 1