zoo/resnext/resnext_c.py
def stem(self, inputs):
        """ Construct the Stem Convolution Group
            inputs : input vector
        """
        x = self.Conv2D(inputs, 64, (7, 7), strides=(2, 2), padding='same')
        x = self.BatchNormalization(x)
        x = self.ReLU(x)
        x = MaxPooling2D(pool_size=(3, 3), strides=(2, 2), padding='same')(x)
        return x
 Construct the Stem Convolution Group
            inputs : input vector
        
Construct the Stem Convolution Group
inputs : input vector
Construct the Stem Convolution Group inputs : input vector
def stem(self, inputs):
        x = self.Conv2D(inputs, 64, (7, 7), strides=(2, 2), padding='same')
        x = self.BatchNormalization(x)
        x = self.ReLU(x)
        x = MaxPooling2D(pool_size=(3, 3), strides=(2, 2), padding='same')(x)
        return x
def stem ( self , inputs ) : x = self . Conv2D ( inputs , 64 , ( 7 , 7 ) , strides = ( 2 , 2 ) , padding = 'same' ) x = self . BatchNormalization ( x ) x = self . ReLU ( x ) x = MaxPooling2D ( pool_size = ( 3 , 3 ) , strides = ( 2 , 2 ) , padding = 'same' ) ( x ) return x
Construct the Stem Convolution Group
inputs : input vector
Construct the Stem Convolution Group inputs : input vector
""" Construct the Stem Convolution Group
            inputs : input vector
        """
self
inputs