ResNet.md

from tensorflow import keras
import numpy as np
from pyradox import convnets

inputs = keras.Input(shape=(28, 28, 1))
x = keras.layers.ZeroPadding2D(2)(inputs)         # padding to increase dimenstions to 32x32
x = keras.layers.Conv2D(3, 1, padding='same')(x)  # increasing the number of channels to 3
x = convnets.ResNet([(32, 3), (64, 5), (32, 5), (64, 3)])(x)
x = keras.layers.GlobalAvgPool2D()(x)
outputs = keras.layers.Dense(10, activation="softmax")(x)

model = keras.models.Model(inputs=inputs, outputs=outputs) 

model.summary()
keras.utils.plot_model(model, show_shapes=True, expand_nested=True)

Model: "model"
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            [(None, 28, 28, 1)]  0                                            
__________________________________________________________________________________________________
zero_padding2d (ZeroPadding2D)  (None, 32, 32, 1)    0           input_1[0][0]                    
__________________________________________________________________________________________________
conv2d (Conv2D)                 (None, 32, 32, 3)    6           zero_padding2d[0][0]             
__________________________________________________________________________________________________
zero_padding2d_1 (ZeroPadding2D (None, 38, 38, 3)    0           conv2d[0][0]                     
__________________________________________________________________________________________________
conv2d_1 (Conv2D)               (None, 16, 16, 64)   9408        zero_padding2d_1[0][0]           
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 16, 16, 64)   256         conv2d_1[0][0]                   
__________________________________________________________________________________________________
activation (Activation)         (None, 16, 16, 64)   0           batch_normalization[0][0]        
__________________________________________________________________________________________________
zero_padding2d_2 (ZeroPadding2D (None, 18, 18, 64)   0           activation[0][0]                 
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D)    (None, 8, 8, 64)     0           zero_padding2d_2[0][0]           
__________________________________________________________________________________________________
conv2d_3 (Conv2D)               (None, 4, 4, 32)     2080        max_pooling2d[0][0]              
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 4, 4, 32)     128         conv2d_3[0][0]                   
__________________________________________________________________________________________________
activation_1 (Activation)       (None, 4, 4, 32)     0           batch_normalization_2[0][0]      
__________________________________________________________________________________________________
conv2d_4 (Conv2D)               (None, 4, 4, 32)     9248        activation_1[0][0]               
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 4, 4, 32)     128         conv2d_4[0][0]                   
__________________________________________________________________________________________________
activation_2 (Activation)       (None, 4, 4, 32)     0           batch_normalization_3[0][0]      
__________________________________________________________________________________________________
conv2d_2 (Conv2D)               (None, 4, 4, 128)    8320        max_pooling2d[0][0]              
__________________________________________________________________________________________________
conv2d_5 (Conv2D)               (None, 4, 4, 128)    4224        activation_2[0][0]               
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 4, 4, 128)    512         conv2d_2[0][0]                   
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 4, 4, 128)    512         conv2d_5[0][0]                   
__________________________________________________________________________________________________
add (Add)                       (None, 4, 4, 128)    0           batch_normalization_1[0][0]      
                                                                 batch_normalization_4[0][0]      
__________________________________________________________________________________________________
activation_3 (Activation)       (None, 4, 4, 128)    0           add[0][0]                        
__________________________________________________________________________________________________
conv2d_6 (Conv2D)               (None, 4, 4, 32)     4128        activation_3[0][0]               
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 4, 4, 32)     128         conv2d_6[0][0]                   
__________________________________________________________________________________________________
activation_4 (Activation)       (None, 4, 4, 32)     0           batch_normalization_5[0][0]      
__________________________________________________________________________________________________
conv2d_7 (Conv2D)               (None, 4, 4, 32)     9248        activation_4[0][0]               
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 4, 4, 32)     128         conv2d_7[0][0]                   
__________________________________________________________________________________________________
activation_5 (Activation)       (None, 4, 4, 32)     0           batch_normalization_6[0][0]      
__________________________________________________________________________________________________
conv2d_8 (Conv2D)               (None, 4, 4, 128)    4224        activation_5[0][0]               
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 4, 4, 128)    512         conv2d_8[0][0]                   
__________________________________________________________________________________________________
add_1 (Add)                     (None, 4, 4, 128)    0           activation_3[0][0]               
                                                                 batch_normalization_7[0][0]      
__________________________________________________________________________________________________
activation_6 (Activation)       (None, 4, 4, 128)    0           add_1[0][0]                      
__________________________________________________________________________________________________
conv2d_9 (Conv2D)               (None, 4, 4, 32)     4128        activation_6[0][0]               
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 4, 4, 32)     128         conv2d_9[0][0]                   
__________________________________________________________________________________________________
activation_7 (Activation)       (None, 4, 4, 32)     0           batch_normalization_8[0][0]      
__________________________________________________________________________________________________
conv2d_10 (Conv2D)              (None, 4, 4, 32)     9248        activation_7[0][0]               
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 4, 4, 32)     128         conv2d_10[0][0]                  
__________________________________________________________________________________________________
activation_8 (Activation)       (None, 4, 4, 32)     0           batch_normalization_9[0][0]      
__________________________________________________________________________________________________
conv2d_11 (Conv2D)              (None, 4, 4, 128)    4224        activation_8[0][0]               
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 4, 4, 128)    512         conv2d_11[0][0]                  
__________________________________________________________________________________________________
add_2 (Add)                     (None, 4, 4, 128)    0           activation_6[0][0]               
                                                                 batch_normalization_10[0][0]     
__________________________________________________________________________________________________
activation_9 (Activation)       (None, 4, 4, 128)    0           add_2[0][0]                      
__________________________________________________________________________________________________
conv2d_13 (Conv2D)              (None, 4, 4, 64)     8256        activation_9[0][0]               
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 4, 4, 64)     256         conv2d_13[0][0]                  
__________________________________________________________________________________________________
activation_10 (Activation)      (None, 4, 4, 64)     0           batch_normalization_12[0][0]     
__________________________________________________________________________________________________
conv2d_14 (Conv2D)              (None, 4, 4, 64)     36928       activation_10[0][0]              
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 4, 4, 64)     256         conv2d_14[0][0]                  
__________________________________________________________________________________________________
activation_11 (Activation)      (None, 4, 4, 64)     0           batch_normalization_13[0][0]     
__________________________________________________________________________________________________
conv2d_12 (Conv2D)              (None, 4, 4, 256)    33024       activation_9[0][0]               
__________________________________________________________________________________________________
conv2d_15 (Conv2D)              (None, 4, 4, 256)    16640       activation_11[0][0]              
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 4, 4, 256)    1024        conv2d_12[0][0]                  
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 4, 4, 256)    1024        conv2d_15[0][0]                  
__________________________________________________________________________________________________
add_3 (Add)                     (None, 4, 4, 256)    0           batch_normalization_11[0][0]     
                                                                 batch_normalization_14[0][0]     
__________________________________________________________________________________________________
activation_12 (Activation)      (None, 4, 4, 256)    0           add_3[0][0]                      
__________________________________________________________________________________________________
conv2d_16 (Conv2D)              (None, 4, 4, 64)     16448       activation_12[0][0]              
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 4, 4, 64)     256         conv2d_16[0][0]                  
__________________________________________________________________________________________________
activation_13 (Activation)      (None, 4, 4, 64)     0           batch_normalization_15[0][0]     
__________________________________________________________________________________________________
conv2d_17 (Conv2D)              (None, 4, 4, 64)     36928       activation_13[0][0]              
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 4, 4, 64)     256         conv2d_17[0][0]                  
__________________________________________________________________________________________________
activation_14 (Activation)      (None, 4, 4, 64)     0           batch_normalization_16[0][0]     
__________________________________________________________________________________________________
conv2d_18 (Conv2D)              (None, 4, 4, 256)    16640       activation_14[0][0]              
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 4, 4, 256)    1024        conv2d_18[0][0]                  
__________________________________________________________________________________________________
add_4 (Add)                     (None, 4, 4, 256)    0           activation_12[0][0]              
                                                                 batch_normalization_17[0][0]     
__________________________________________________________________________________________________
activation_15 (Activation)      (None, 4, 4, 256)    0           add_4[0][0]                      
__________________________________________________________________________________________________
conv2d_19 (Conv2D)              (None, 4, 4, 64)     16448       activation_15[0][0]              
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 4, 4, 64)     256         conv2d_19[0][0]                  
__________________________________________________________________________________________________
activation_16 (Activation)      (None, 4, 4, 64)     0           batch_normalization_18[0][0]     
__________________________________________________________________________________________________
conv2d_20 (Conv2D)              (None, 4, 4, 64)     36928       activation_16[0][0]              
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 4, 4, 64)     256         conv2d_20[0][0]                  
__________________________________________________________________________________________________
activation_17 (Activation)      (None, 4, 4, 64)     0           batch_normalization_19[0][0]     
__________________________________________________________________________________________________
conv2d_21 (Conv2D)              (None, 4, 4, 256)    16640       activation_17[0][0]              
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 4, 4, 256)    1024        conv2d_21[0][0]                  
__________________________________________________________________________________________________
add_5 (Add)                     (None, 4, 4, 256)    0           activation_15[0][0]              
                                                                 batch_normalization_20[0][0]     
__________________________________________________________________________________________________
activation_18 (Activation)      (None, 4, 4, 256)    0           add_5[0][0]                      
__________________________________________________________________________________________________
conv2d_22 (Conv2D)              (None, 4, 4, 64)     16448       activation_18[0][0]              
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 4, 4, 64)     256         conv2d_22[0][0]                  
__________________________________________________________________________________________________
activation_19 (Activation)      (None, 4, 4, 64)     0           batch_normalization_21[0][0]     
__________________________________________________________________________________________________
conv2d_23 (Conv2D)              (None, 4, 4, 64)     36928       activation_19[0][0]              
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 4, 4, 64)     256         conv2d_23[0][0]                  
__________________________________________________________________________________________________
activation_20 (Activation)      (None, 4, 4, 64)     0           batch_normalization_22[0][0]     
__________________________________________________________________________________________________
conv2d_24 (Conv2D)              (None, 4, 4, 256)    16640       activation_20[0][0]              
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 4, 4, 256)    1024        conv2d_24[0][0]                  
__________________________________________________________________________________________________
add_6 (Add)                     (None, 4, 4, 256)    0           activation_18[0][0]              
                                                                 batch_normalization_23[0][0]     
__________________________________________________________________________________________________
activation_21 (Activation)      (None, 4, 4, 256)    0           add_6[0][0]                      
__________________________________________________________________________________________________
conv2d_25 (Conv2D)              (None, 4, 4, 64)     16448       activation_21[0][0]              
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 4, 4, 64)     256         conv2d_25[0][0]                  
__________________________________________________________________________________________________
activation_22 (Activation)      (None, 4, 4, 64)     0           batch_normalization_24[0][0]     
__________________________________________________________________________________________________
conv2d_26 (Conv2D)              (None, 4, 4, 64)     36928       activation_22[0][0]              
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 4, 4, 64)     256         conv2d_26[0][0]                  
__________________________________________________________________________________________________
activation_23 (Activation)      (None, 4, 4, 64)     0           batch_normalization_25[0][0]     
__________________________________________________________________________________________________
conv2d_27 (Conv2D)              (None, 4, 4, 256)    16640       activation_23[0][0]              
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 4, 4, 256)    1024        conv2d_27[0][0]                  
__________________________________________________________________________________________________
add_7 (Add)                     (None, 4, 4, 256)    0           activation_21[0][0]              
                                                                 batch_normalization_26[0][0]     
__________________________________________________________________________________________________
activation_24 (Activation)      (None, 4, 4, 256)    0           add_7[0][0]                      
__________________________________________________________________________________________________
conv2d_29 (Conv2D)              (None, 4, 4, 32)     8224        activation_24[0][0]              
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 4, 4, 32)     128         conv2d_29[0][0]                  
__________________________________________________________________________________________________
activation_25 (Activation)      (None, 4, 4, 32)     0           batch_normalization_28[0][0]     
__________________________________________________________________________________________________
conv2d_30 (Conv2D)              (None, 4, 4, 32)     9248        activation_25[0][0]              
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 4, 4, 32)     128         conv2d_30[0][0]                  
__________________________________________________________________________________________________
activation_26 (Activation)      (None, 4, 4, 32)     0           batch_normalization_29[0][0]     
__________________________________________________________________________________________________
conv2d_28 (Conv2D)              (None, 4, 4, 128)    32896       activation_24[0][0]              
__________________________________________________________________________________________________
conv2d_31 (Conv2D)              (None, 4, 4, 128)    4224        activation_26[0][0]              
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 4, 4, 128)    512         conv2d_28[0][0]                  
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 4, 4, 128)    512         conv2d_31[0][0]                  
__________________________________________________________________________________________________
add_8 (Add)                     (None, 4, 4, 128)    0           batch_normalization_27[0][0]     
                                                                 batch_normalization_30[0][0]     
__________________________________________________________________________________________________
activation_27 (Activation)      (None, 4, 4, 128)    0           add_8[0][0]                      
__________________________________________________________________________________________________
conv2d_32 (Conv2D)              (None, 4, 4, 32)     4128        activation_27[0][0]              
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 4, 4, 32)     128         conv2d_32[0][0]                  
__________________________________________________________________________________________________
activation_28 (Activation)      (None, 4, 4, 32)     0           batch_normalization_31[0][0]     
__________________________________________________________________________________________________
conv2d_33 (Conv2D)              (None, 4, 4, 32)     9248        activation_28[0][0]              
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 4, 4, 32)     128         conv2d_33[0][0]                  
__________________________________________________________________________________________________
activation_29 (Activation)      (None, 4, 4, 32)     0           batch_normalization_32[0][0]     
__________________________________________________________________________________________________
conv2d_34 (Conv2D)              (None, 4, 4, 128)    4224        activation_29[0][0]              
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 4, 4, 128)    512         conv2d_34[0][0]                  
__________________________________________________________________________________________________
add_9 (Add)                     (None, 4, 4, 128)    0           activation_27[0][0]              
                                                                 batch_normalization_33[0][0]     
__________________________________________________________________________________________________
activation_30 (Activation)      (None, 4, 4, 128)    0           add_9[0][0]                      
__________________________________________________________________________________________________
conv2d_35 (Conv2D)              (None, 4, 4, 32)     4128        activation_30[0][0]              
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 4, 4, 32)     128         conv2d_35[0][0]                  
__________________________________________________________________________________________________
activation_31 (Activation)      (None, 4, 4, 32)     0           batch_normalization_34[0][0]     
__________________________________________________________________________________________________
conv2d_36 (Conv2D)              (None, 4, 4, 32)     9248        activation_31[0][0]              
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 4, 4, 32)     128         conv2d_36[0][0]                  
__________________________________________________________________________________________________
activation_32 (Activation)      (None, 4, 4, 32)     0           batch_normalization_35[0][0]     
__________________________________________________________________________________________________
conv2d_37 (Conv2D)              (None, 4, 4, 128)    4224        activation_32[0][0]              
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 4, 4, 128)    512         conv2d_37[0][0]                  
__________________________________________________________________________________________________
add_10 (Add)                    (None, 4, 4, 128)    0           activation_30[0][0]              
                                                                 batch_normalization_36[0][0]     
__________________________________________________________________________________________________
activation_33 (Activation)      (None, 4, 4, 128)    0           add_10[0][0]                     
__________________________________________________________________________________________________
conv2d_38 (Conv2D)              (None, 4, 4, 32)     4128        activation_33[0][0]              
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 4, 4, 32)     128         conv2d_38[0][0]                  
__________________________________________________________________________________________________
activation_34 (Activation)      (None, 4, 4, 32)     0           batch_normalization_37[0][0]     
__________________________________________________________________________________________________
conv2d_39 (Conv2D)              (None, 4, 4, 32)     9248        activation_34[0][0]              
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 4, 4, 32)     128         conv2d_39[0][0]                  
__________________________________________________________________________________________________
activation_35 (Activation)      (None, 4, 4, 32)     0           batch_normalization_38[0][0]     
__________________________________________________________________________________________________
conv2d_40 (Conv2D)              (None, 4, 4, 128)    4224        activation_35[0][0]              
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 4, 4, 128)    512         conv2d_40[0][0]                  
__________________________________________________________________________________________________
add_11 (Add)                    (None, 4, 4, 128)    0           activation_33[0][0]              
                                                                 batch_normalization_39[0][0]     
__________________________________________________________________________________________________
activation_36 (Activation)      (None, 4, 4, 128)    0           add_11[0][0]                     
__________________________________________________________________________________________________
conv2d_41 (Conv2D)              (None, 4, 4, 32)     4128        activation_36[0][0]              
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 4, 4, 32)     128         conv2d_41[0][0]                  
__________________________________________________________________________________________________
activation_37 (Activation)      (None, 4, 4, 32)     0           batch_normalization_40[0][0]     
__________________________________________________________________________________________________
conv2d_42 (Conv2D)              (None, 4, 4, 32)     9248        activation_37[0][0]              
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 4, 4, 32)     128         conv2d_42[0][0]                  
__________________________________________________________________________________________________
activation_38 (Activation)      (None, 4, 4, 32)     0           batch_normalization_41[0][0]     
__________________________________________________________________________________________________
conv2d_43 (Conv2D)              (None, 4, 4, 128)    4224        activation_38[0][0]              
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 4, 4, 128)    512         conv2d_43[0][0]                  
__________________________________________________________________________________________________
add_12 (Add)                    (None, 4, 4, 128)    0           activation_36[0][0]              
                                                                 batch_normalization_42[0][0]     
__________________________________________________________________________________________________
activation_39 (Activation)      (None, 4, 4, 128)    0           add_12[0][0]                     
__________________________________________________________________________________________________
conv2d_45 (Conv2D)              (None, 4, 4, 64)     8256        activation_39[0][0]              
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 4, 4, 64)     256         conv2d_45[0][0]                  
__________________________________________________________________________________________________
activation_40 (Activation)      (None, 4, 4, 64)     0           batch_normalization_44[0][0]     
__________________________________________________________________________________________________
conv2d_46 (Conv2D)              (None, 4, 4, 64)     36928       activation_40[0][0]              
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 4, 4, 64)     256         conv2d_46[0][0]                  
__________________________________________________________________________________________________
activation_41 (Activation)      (None, 4, 4, 64)     0           batch_normalization_45[0][0]     
__________________________________________________________________________________________________
conv2d_44 (Conv2D)              (None, 4, 4, 256)    33024       activation_39[0][0]              
__________________________________________________________________________________________________
conv2d_47 (Conv2D)              (None, 4, 4, 256)    16640       activation_41[0][0]              
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 4, 4, 256)    1024        conv2d_44[0][0]                  
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 4, 4, 256)    1024        conv2d_47[0][0]                  
__________________________________________________________________________________________________
add_13 (Add)                    (None, 4, 4, 256)    0           batch_normalization_43[0][0]     
                                                                 batch_normalization_46[0][0]     
__________________________________________________________________________________________________
activation_42 (Activation)      (None, 4, 4, 256)    0           add_13[0][0]                     
__________________________________________________________________________________________________
conv2d_48 (Conv2D)              (None, 4, 4, 64)     16448       activation_42[0][0]              
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 4, 4, 64)     256         conv2d_48[0][0]                  
__________________________________________________________________________________________________
activation_43 (Activation)      (None, 4, 4, 64)     0           batch_normalization_47[0][0]     
__________________________________________________________________________________________________
conv2d_49 (Conv2D)              (None, 4, 4, 64)     36928       activation_43[0][0]              
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 4, 4, 64)     256         conv2d_49[0][0]                  
__________________________________________________________________________________________________
activation_44 (Activation)      (None, 4, 4, 64)     0           batch_normalization_48[0][0]     
__________________________________________________________________________________________________
conv2d_50 (Conv2D)              (None, 4, 4, 256)    16640       activation_44[0][0]              
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 4, 4, 256)    1024        conv2d_50[0][0]                  
__________________________________________________________________________________________________
add_14 (Add)                    (None, 4, 4, 256)    0           activation_42[0][0]              
                                                                 batch_normalization_49[0][0]     
__________________________________________________________________________________________________
activation_45 (Activation)      (None, 4, 4, 256)    0           add_14[0][0]                     
__________________________________________________________________________________________________
conv2d_51 (Conv2D)              (None, 4, 4, 64)     16448       activation_45[0][0]              
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 4, 4, 64)     256         conv2d_51[0][0]                  
__________________________________________________________________________________________________
activation_46 (Activation)      (None, 4, 4, 64)     0           batch_normalization_50[0][0]     
__________________________________________________________________________________________________
conv2d_52 (Conv2D)              (None, 4, 4, 64)     36928       activation_46[0][0]              
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 4, 4, 64)     256         conv2d_52[0][0]                  
__________________________________________________________________________________________________
activation_47 (Activation)      (None, 4, 4, 64)     0           batch_normalization_51[0][0]     
__________________________________________________________________________________________________
conv2d_53 (Conv2D)              (None, 4, 4, 256)    16640       activation_47[0][0]              
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 4, 4, 256)    1024        conv2d_53[0][0]                  
__________________________________________________________________________________________________
add_15 (Add)                    (None, 4, 4, 256)    0           activation_45[0][0]              
                                                                 batch_normalization_52[0][0]     
__________________________________________________________________________________________________
activation_48 (Activation)      (None, 4, 4, 256)    0           add_15[0][0]                     
__________________________________________________________________________________________________
global_average_pooling2d (Globa (None, 256)          0           activation_48[0][0]              
__________________________________________________________________________________________________
dense (Dense)                   (None, 10)           2570        global_average_pooling2d[0][0]   
==================================================================================================
Total params: 827,600
Trainable params: 816,720
Non-trainable params: 10,880
__________________________________________________________________________________________________