zoo/wrn/wrn_c.py
def stem(self, inputs):
        """ Construct the Stem Convolutional Group 
            inputs : the input vector
        """
        # Convolutional layer 
        x = self.Conv2D(inputs, 16, (3, 3), strides=(1, 1), padding='same')
        x = self.BatchNormalization(x)
        x = self.ReLU(x)
    
        return x
 Construct the Stem Convolutional Group 
            inputs : the input vector
        
Construct the Stem Convolutional Group
inputs : the input vector
Construct the Stem Convolutional Group inputs : the input vector
def stem(self, inputs):
        x = self.Conv2D(inputs, 16, (3, 3), strides=(1, 1), padding='same')
        x = self.BatchNormalization(x)
        x = self.ReLU(x)
        return x
def stem ( self , inputs ) : x = self . Conv2D ( inputs , 16 , ( 3 , 3 ) , strides = ( 1 , 1 ) , padding = 'same' ) x = self . BatchNormalization ( x ) x = self . ReLU ( x ) return x
Construct the Stem Convolutional Group
inputs : the input vector
Construct the Stem Convolutional Group inputs : the input vector
""" Construct the Stem Convolutional Group 
            inputs : the input vector
        """ # Convolutional layer 
self
inputs