class ReLU(Activation): ''' Rectified linear unit activation function ''' def __init__(self): super(ReLU, self).__init__() def value(self, x: np.ndarray) -> np.ndarray: #### write your code below #### return。请帮我完成需要填写的代码

Sure! Here's the code to compute the value of the ReLU activation function:

class ReLU(Activation):
    ''' 
    Rectified linear unit activation function 
    '''
    def __init__(self):
        super(ReLU, self).__init__()

    def value(self, x: np.ndarray) -> np.ndarray:
        '''
        Parameters:
            x is a two dimensional array.
        Returns:
            a two dimensional array whose shape is the same as that of x. The returned value is the elementwise 
            value of the ReLU activation function applied to x.
        '''
        return np.maximum(x, 0)

The ReLU function applies the element-wise maximum function to each element of the input array `x` and 0, so that the output value is 0 for all negative values of x and x itself for all non-negative values of x.