model = DeXpression(include_top=True,
                weights=None,
                input_tensor=None,
                input_shape=None,
                padding='same',
                classes=7)
model.summary()


____________________________________________________________________________________________________
Layer (type)                     Output Shape          Param #     Connected to                     
====================================================================================================
input_1 (InputLayer)             (None, 224, 224, 3)   0                                            
____________________________________________________________________________________________________
conv_1 (Conv2D)                  (None, 112, 112, 64)  9472        input_1[0][0]                    
____________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D)   (None, 55, 55, 64)    0           conv_1[0][0]                     
____________________________________________________________________________________________________
batch_normalization_1 (BatchNorm (None, 55, 55, 64)    256         max_pooling2d_1[0][0]            
____________________________________________________________________________________________________
conv_2a (Conv2D)                 (None, 55, 55, 96)    6240        batch_normalization_1[0][0]      
____________________________________________________________________________________________________
maxpool_2a (MaxPooling2D)        (None, 55, 55, 64)    0           batch_normalization_1[0][0]      
____________________________________________________________________________________________________
conv_2b (Conv2D)                 (None, 55, 55, 208)   179920      conv_2a[0][0]                    
____________________________________________________________________________________________________
conv_2c (Conv2D)                 (None, 55, 55, 64)    4160        maxpool_2a[0][0]                 
____________________________________________________________________________________________________
concat_2 (Merge)                 (None, 55, 55, 272)   0           conv_2b[0][0]                    
                                                                   conv_2c[0][0]                    
____________________________________________________________________________________________________
maxpool_2b (MaxPooling2D)        (None, 55, 55, 272)   0           concat_2[0][0]                   
____________________________________________________________________________________________________
conv_3a (Conv2D)                 (None, 55, 55, 96)    26208       maxpool_2b[0][0]                 
____________________________________________________________________________________________________
conv_3b (Conv2D)                 (None, 55, 55, 208)   179920      conv_3a[0][0]                    
____________________________________________________________________________________________________
conv_3c (Conv2D)                 (None, 55, 55, 64)    4160        maxpool_2a[0][0]                 
____________________________________________________________________________________________________
concat_3 (Merge)                 (None, 55, 55, 272)   0           conv_3b[0][0]                    
                                                                   conv_3c[0][0]                    
____________________________________________________________________________________________________
maxpool_3b (MaxPooling2D)        (None, 55, 55, 272)   0           concat_3[0][0]                   
____________________________________________________________________________________________________
flatten_1 (Flatten)              (None, 822800)        0           maxpool_3b[0][0]                 
____________________________________________________________________________________________________
predictions (Dense)              (None, 7)             5759607     flatten_1[0][0]                  
====================================================================================================
Total params: 6,169,943
Trainable params: 6,169,815
Non-trainable params: 128
____________________________________________________________________________________________________