src/perceptron/NeuralNetwork/NeuralNetwork.py
def initialize_weights(self, seed: int = None):
        """
        Initialize weights of all layers according to activation functions.

        Parameters
        ----------
        seed : int
            A seed to initialize weights (Must be convertible to 32 bit unsigned integers).
        """
        np.random.seed(seed)
        for layer in self.layers:
            layer.initialize_weights()

        Initialize weights of all layers according to activation functions.

        Parameters
        ----------
        seed : int
            A seed to initialize weights (Must be convertible to 32 bit unsigned integers).
        
Initialize weights of all layers according to activation functions.
Parameters

seed : int
A seed to initialize weights (Must be convertible to 32 bit unsigned integers).
Initialize weights of all layers according to activation functions . Parameters seed : int A seed to initialize weights ( Must be convertible to 32 bit unsigned integers ) .
def initialize_weights(self, seed: int = None):
        np.random.seed(seed)
        for layer in self.layers:
            layer.initialize_weights()
def initialize_weights ( self , seed : int = None ) : np . random . seed ( seed ) for layer in self . layers : layer . initialize_weights ( )
Initialize weights of all layers according to activation functions.
Initialize weights of all layers according to activation functions .
"""
        Initialize weights of all layers according to activation functions.

        Parameters
        ----------
        seed : int
            A seed to initialize weights (Must be convertible to 32 bit unsigned integers).
        """
self
seed
int