zoo/squeezenet/squeezenet_c.py
def stem(self, inputs):
        ''' Construct the Stem Group  
            inputs: the input tensor
        '''
        x = self.Conv2D(inputs, 96, (7, 7), strides=2, padding='same')
        x = self.ReLU(x)
        x = MaxPooling2D(3, strides=2)(x)
        return x
 Construct the Stem Group  
            inputs: the input tensor
        
Construct the Stem Group
inputs: the input tensor
Construct the Stem Group inputs : the input tensor
def stem(self, inputs):
        x = self.Conv2D(inputs, 96, (7, 7), strides=2, padding='same')
        x = self.ReLU(x)
        x = MaxPooling2D(3, strides=2)(x)
        return x
def stem ( self , inputs ) : x = self . Conv2D ( inputs , 96 , ( 7 , 7 ) , strides = 2 , padding = 'same' ) x = self . ReLU ( x ) x = MaxPooling2D ( 3 , strides = 2 ) ( x ) return x
Construct the Stem Group
inputs: the input tensor
Construct the Stem Group inputs : the input tensor
''' Construct the Stem Group  
            inputs: the input tensor
        '''
self
inputs