EfficientNet.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.EfficientNet(1, 1, 32)(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, 33, 33, 3)    0           conv2d[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D)               (None, 16, 16, 32)   864         zero_padding2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 16, 16, 32)   128         conv2d_1[0][0]
__________________________________________________________________________________________________
activation (Activation)         (None, 16, 16, 32)   0           batch_normalization[0][0]
__________________________________________________________________________________________________
depthwise_conv2d (DepthwiseConv (None, 16, 16, 32)   288         activation[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 16, 16, 32)   128         depthwise_conv2d[0][0]
__________________________________________________________________________________________________
activation_1 (Activation)       (None, 16, 16, 32)   0           batch_normalization_1[0][0]
__________________________________________________________________________________________________
global_average_pooling2d (Globa (None, 32)           0           activation_1[0][0]
__________________________________________________________________________________________________
reshape (Reshape)               (None, 1, 1, 32)     0           global_average_pooling2d[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D)               (None, 1, 1, 8)      264         reshape[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D)               (None, 1, 1, 32)     288         conv2d_2[0][0]
__________________________________________________________________________________________________
multiply (Multiply)             (None, 16, 16, 32)   0           activation_1[0][0]
                                                                 conv2d_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D)               (None, 16, 16, 16)   512         multiply[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 16, 16, 16)   64          conv2d_4[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D)               (None, 16, 16, 96)   1536        batch_normalization_2[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 16, 16, 96)   384         conv2d_5[0][0]
__________________________________________________________________________________________________
activation_2 (Activation)       (None, 16, 16, 96)   0           batch_normalization_3[0][0]
__________________________________________________________________________________________________
zero_padding2d_2 (ZeroPadding2D (None, 17, 17, 96)   0           activation_2[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_1 (DepthwiseCo (None, 8, 8, 96)     864         zero_padding2d_2[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 8, 8, 96)     384         depthwise_conv2d_1[0][0]
__________________________________________________________________________________________________
activation_3 (Activation)       (None, 8, 8, 96)     0           batch_normalization_4[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_1 (Glo (None, 96)           0           activation_3[0][0]
__________________________________________________________________________________________________
reshape_1 (Reshape)             (None, 1, 1, 96)     0           global_average_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D)               (None, 1, 1, 4)      388         reshape_1[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D)               (None, 1, 1, 96)     480         conv2d_6[0][0]
__________________________________________________________________________________________________
multiply_1 (Multiply)           (None, 8, 8, 96)     0           activation_3[0][0]
                                                                 conv2d_7[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D)               (None, 8, 8, 24)     2304        multiply_1[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 8, 8, 24)     96          conv2d_8[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D)               (None, 8, 8, 144)    3456        batch_normalization_5[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 8, 8, 144)    576         conv2d_9[0][0]
__________________________________________________________________________________________________
activation_4 (Activation)       (None, 8, 8, 144)    0           batch_normalization_6[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_2 (DepthwiseCo (None, 8, 8, 144)    1296        activation_4[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 8, 8, 144)    576         depthwise_conv2d_2[0][0]
__________________________________________________________________________________________________
activation_5 (Activation)       (None, 8, 8, 144)    0           batch_normalization_7[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_2 (Glo (None, 144)          0           activation_5[0][0]
__________________________________________________________________________________________________
reshape_2 (Reshape)             (None, 1, 1, 144)    0           global_average_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D)              (None, 1, 1, 6)      870         reshape_2[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D)              (None, 1, 1, 144)    1008        conv2d_10[0][0]
__________________________________________________________________________________________________
multiply_2 (Multiply)           (None, 8, 8, 144)    0           activation_5[0][0]
                                                                 conv2d_11[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D)              (None, 8, 8, 24)     3456        multiply_2[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 8, 8, 24)     96          conv2d_12[0][0]
__________________________________________________________________________________________________
dropout (Dropout)               (None, 8, 8, 24)     0           batch_normalization_8[0][0]
__________________________________________________________________________________________________
add (Add)                       (None, 8, 8, 24)     0           dropout[0][0]
                                                                 batch_normalization_5[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D)              (None, 8, 8, 144)    3456        add[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 8, 8, 144)    576         conv2d_13[0][0]
__________________________________________________________________________________________________
activation_6 (Activation)       (None, 8, 8, 144)    0           batch_normalization_9[0][0]
__________________________________________________________________________________________________
zero_padding2d_3 (ZeroPadding2D (None, 11, 11, 144)  0           activation_6[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_3 (DepthwiseCo (None, 4, 4, 144)    3600        zero_padding2d_3[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 4, 4, 144)    576         depthwise_conv2d_3[0][0]
__________________________________________________________________________________________________
activation_7 (Activation)       (None, 4, 4, 144)    0           batch_normalization_10[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_3 (Glo (None, 144)          0           activation_7[0][0]
__________________________________________________________________________________________________
reshape_3 (Reshape)             (None, 1, 1, 144)    0           global_average_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D)              (None, 1, 1, 6)      870         reshape_3[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D)              (None, 1, 1, 144)    1008        conv2d_14[0][0]
__________________________________________________________________________________________________
multiply_3 (Multiply)           (None, 4, 4, 144)    0           activation_7[0][0]
                                                                 conv2d_15[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D)              (None, 4, 4, 40)     5760        multiply_3[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 4, 4, 40)     160         conv2d_16[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D)              (None, 4, 4, 240)    9600        batch_normalization_11[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 4, 4, 240)    960         conv2d_17[0][0]
__________________________________________________________________________________________________
activation_8 (Activation)       (None, 4, 4, 240)    0           batch_normalization_12[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_4 (DepthwiseCo (None, 4, 4, 240)    6000        activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 4, 4, 240)    960         depthwise_conv2d_4[0][0]
__________________________________________________________________________________________________
activation_9 (Activation)       (None, 4, 4, 240)    0           batch_normalization_13[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_4 (Glo (None, 240)          0           activation_9[0][0]
__________________________________________________________________________________________________
reshape_4 (Reshape)             (None, 1, 1, 240)    0           global_average_pooling2d_4[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D)              (None, 1, 1, 10)     2410        reshape_4[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D)              (None, 1, 1, 240)    2640        conv2d_18[0][0]
__________________________________________________________________________________________________
multiply_4 (Multiply)           (None, 4, 4, 240)    0           activation_9[0][0]
                                                                 conv2d_19[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D)              (None, 4, 4, 40)     9600        multiply_4[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 4, 4, 40)     160         conv2d_20[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout)             (None, 4, 4, 40)     0           batch_normalization_14[0][0]
__________________________________________________________________________________________________
add_1 (Add)                     (None, 4, 4, 40)     0           dropout_1[0][0]
                                                                 batch_normalization_11[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D)              (None, 4, 4, 240)    9600        add_1[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 4, 4, 240)    960         conv2d_21[0][0]
__________________________________________________________________________________________________
activation_10 (Activation)      (None, 4, 4, 240)    0           batch_normalization_15[0][0]
__________________________________________________________________________________________________
zero_padding2d_4 (ZeroPadding2D (None, 5, 5, 240)    0           activation_10[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_5 (DepthwiseCo (None, 2, 2, 240)    2160        zero_padding2d_4[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 2, 2, 240)    960         depthwise_conv2d_5[0][0]
__________________________________________________________________________________________________
activation_11 (Activation)      (None, 2, 2, 240)    0           batch_normalization_16[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_5 (Glo (None, 240)          0           activation_11[0][0]
__________________________________________________________________________________________________
reshape_5 (Reshape)             (None, 1, 1, 240)    0           global_average_pooling2d_5[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D)              (None, 1, 1, 10)     2410        reshape_5[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D)              (None, 1, 1, 240)    2640        conv2d_22[0][0]
__________________________________________________________________________________________________
multiply_5 (Multiply)           (None, 2, 2, 240)    0           activation_11[0][0]
                                                                 conv2d_23[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D)              (None, 2, 2, 80)     19200       multiply_5[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 2, 2, 80)     320         conv2d_24[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D)              (None, 2, 2, 480)    38400       batch_normalization_17[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 2, 2, 480)    1920        conv2d_25[0][0]
__________________________________________________________________________________________________
activation_12 (Activation)      (None, 2, 2, 480)    0           batch_normalization_18[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_6 (DepthwiseCo (None, 2, 2, 480)    4320        activation_12[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 2, 2, 480)    1920        depthwise_conv2d_6[0][0]
__________________________________________________________________________________________________
activation_13 (Activation)      (None, 2, 2, 480)    0           batch_normalization_19[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_6 (Glo (None, 480)          0           activation_13[0][0]
__________________________________________________________________________________________________
reshape_6 (Reshape)             (None, 1, 1, 480)    0           global_average_pooling2d_6[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D)              (None, 1, 1, 20)     9620        reshape_6[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D)              (None, 1, 1, 480)    10080       conv2d_26[0][0]
__________________________________________________________________________________________________
multiply_6 (Multiply)           (None, 2, 2, 480)    0           activation_13[0][0]
                                                                 conv2d_27[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D)              (None, 2, 2, 80)     38400       multiply_6[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 2, 2, 80)     320         conv2d_28[0][0]
__________________________________________________________________________________________________
dropout_2 (Dropout)             (None, 2, 2, 80)     0           batch_normalization_20[0][0]
__________________________________________________________________________________________________
add_2 (Add)                     (None, 2, 2, 80)     0           dropout_2[0][0]
                                                                 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D)              (None, 2, 2, 480)    38400       add_2[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 2, 2, 480)    1920        conv2d_29[0][0]
__________________________________________________________________________________________________
activation_14 (Activation)      (None, 2, 2, 480)    0           batch_normalization_21[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_7 (DepthwiseCo (None, 2, 2, 480)    4320        activation_14[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 2, 2, 480)    1920        depthwise_conv2d_7[0][0]
__________________________________________________________________________________________________
activation_15 (Activation)      (None, 2, 2, 480)    0           batch_normalization_22[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_7 (Glo (None, 480)          0           activation_15[0][0]
__________________________________________________________________________________________________
reshape_7 (Reshape)             (None, 1, 1, 480)    0           global_average_pooling2d_7[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D)              (None, 1, 1, 20)     9620        reshape_7[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D)              (None, 1, 1, 480)    10080       conv2d_30[0][0]
__________________________________________________________________________________________________
multiply_7 (Multiply)           (None, 2, 2, 480)    0           activation_15[0][0]
                                                                 conv2d_31[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D)              (None, 2, 2, 80)     38400       multiply_7[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 2, 2, 80)     320         conv2d_32[0][0]
__________________________________________________________________________________________________
dropout_3 (Dropout)             (None, 2, 2, 80)     0           batch_normalization_23[0][0]
__________________________________________________________________________________________________
add_3 (Add)                     (None, 2, 2, 80)     0           dropout_3[0][0]
                                                                 add_2[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D)              (None, 2, 2, 480)    38400       add_3[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 2, 2, 480)    1920        conv2d_33[0][0]
__________________________________________________________________________________________________
activation_16 (Activation)      (None, 2, 2, 480)    0           batch_normalization_24[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_8 (DepthwiseCo (None, 2, 2, 480)    12000       activation_16[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 2, 2, 480)    1920        depthwise_conv2d_8[0][0]
__________________________________________________________________________________________________
activation_17 (Activation)      (None, 2, 2, 480)    0           batch_normalization_25[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_8 (Glo (None, 480)          0           activation_17[0][0]
__________________________________________________________________________________________________
reshape_8 (Reshape)             (None, 1, 1, 480)    0           global_average_pooling2d_8[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D)              (None, 1, 1, 20)     9620        reshape_8[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D)              (None, 1, 1, 480)    10080       conv2d_34[0][0]
__________________________________________________________________________________________________
multiply_8 (Multiply)           (None, 2, 2, 480)    0           activation_17[0][0]
                                                                 conv2d_35[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D)              (None, 2, 2, 112)    53760       multiply_8[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 2, 2, 112)    448         conv2d_36[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D)              (None, 2, 2, 672)    75264       batch_normalization_26[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 2, 2, 672)    2688        conv2d_37[0][0]
__________________________________________________________________________________________________
activation_18 (Activation)      (None, 2, 2, 672)    0           batch_normalization_27[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_9 (DepthwiseCo (None, 2, 2, 672)    16800       activation_18[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 2, 2, 672)    2688        depthwise_conv2d_9[0][0]
__________________________________________________________________________________________________
activation_19 (Activation)      (None, 2, 2, 672)    0           batch_normalization_28[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_9 (Glo (None, 672)          0           activation_19[0][0]
__________________________________________________________________________________________________
reshape_9 (Reshape)             (None, 1, 1, 672)    0           global_average_pooling2d_9[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D)              (None, 1, 1, 28)     18844       reshape_9[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D)              (None, 1, 1, 672)    19488       conv2d_38[0][0]
__________________________________________________________________________________________________
multiply_9 (Multiply)           (None, 2, 2, 672)    0           activation_19[0][0]
                                                                 conv2d_39[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D)              (None, 2, 2, 112)    75264       multiply_9[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 2, 2, 112)    448         conv2d_40[0][0]
__________________________________________________________________________________________________
dropout_4 (Dropout)             (None, 2, 2, 112)    0           batch_normalization_29[0][0]
__________________________________________________________________________________________________
add_4 (Add)                     (None, 2, 2, 112)    0           dropout_4[0][0]
                                                                 batch_normalization_26[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D)              (None, 2, 2, 672)    75264       add_4[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 2, 2, 672)    2688        conv2d_41[0][0]
__________________________________________________________________________________________________
activation_20 (Activation)      (None, 2, 2, 672)    0           batch_normalization_30[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_10 (DepthwiseC (None, 2, 2, 672)    16800       activation_20[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 2, 2, 672)    2688        depthwise_conv2d_10[0][0]
__________________________________________________________________________________________________
activation_21 (Activation)      (None, 2, 2, 672)    0           batch_normalization_31[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_10 (Gl (None, 672)          0           activation_21[0][0]
__________________________________________________________________________________________________
reshape_10 (Reshape)            (None, 1, 1, 672)    0           global_average_pooling2d_10[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D)              (None, 1, 1, 28)     18844       reshape_10[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D)              (None, 1, 1, 672)    19488       conv2d_42[0][0]
__________________________________________________________________________________________________
multiply_10 (Multiply)          (None, 2, 2, 672)    0           activation_21[0][0]
                                                                 conv2d_43[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D)              (None, 2, 2, 112)    75264       multiply_10[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 2, 2, 112)    448         conv2d_44[0][0]
__________________________________________________________________________________________________
dropout_5 (Dropout)             (None, 2, 2, 112)    0           batch_normalization_32[0][0]
__________________________________________________________________________________________________
add_5 (Add)                     (None, 2, 2, 112)    0           dropout_5[0][0]
                                                                 add_4[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D)              (None, 2, 2, 672)    75264       add_5[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 2, 2, 672)    2688        conv2d_45[0][0]
__________________________________________________________________________________________________
activation_22 (Activation)      (None, 2, 2, 672)    0           batch_normalization_33[0][0]
__________________________________________________________________________________________________
zero_padding2d_5 (ZeroPadding2D (None, 5, 5, 672)    0           activation_22[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_11 (DepthwiseC (None, 1, 1, 672)    16800       zero_padding2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 1, 1, 672)    2688        depthwise_conv2d_11[0][0]
__________________________________________________________________________________________________
activation_23 (Activation)      (None, 1, 1, 672)    0           batch_normalization_34[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_11 (Gl (None, 672)          0           activation_23[0][0]
__________________________________________________________________________________________________
reshape_11 (Reshape)            (None, 1, 1, 672)    0           global_average_pooling2d_11[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D)              (None, 1, 1, 28)     18844       reshape_11[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D)              (None, 1, 1, 672)    19488       conv2d_46[0][0]
__________________________________________________________________________________________________
multiply_11 (Multiply)          (None, 1, 1, 672)    0           activation_23[0][0]
                                                                 conv2d_47[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D)              (None, 1, 1, 192)    129024      multiply_11[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 1, 1, 192)    768         conv2d_48[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D)              (None, 1, 1, 1152)   221184      batch_normalization_35[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 1, 1, 1152)   4608        conv2d_49[0][0]
__________________________________________________________________________________________________
activation_24 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_36[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_12 (DepthwiseC (None, 1, 1, 1152)   28800       activation_24[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 1, 1, 1152)   4608        depthwise_conv2d_12[0][0]
__________________________________________________________________________________________________
activation_25 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_37[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_12 (Gl (None, 1152)         0           activation_25[0][0]
__________________________________________________________________________________________________
reshape_12 (Reshape)            (None, 1, 1, 1152)   0           global_average_pooling2d_12[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D)              (None, 1, 1, 48)     55344       reshape_12[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D)              (None, 1, 1, 1152)   56448       conv2d_50[0][0]
__________________________________________________________________________________________________
multiply_12 (Multiply)          (None, 1, 1, 1152)   0           activation_25[0][0]
                                                                 conv2d_51[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D)              (None, 1, 1, 192)    221184      multiply_12[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 1, 1, 192)    768         conv2d_52[0][0]
__________________________________________________________________________________________________
dropout_6 (Dropout)             (None, 1, 1, 192)    0           batch_normalization_38[0][0]
__________________________________________________________________________________________________
add_6 (Add)                     (None, 1, 1, 192)    0           dropout_6[0][0]
                                                                 batch_normalization_35[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D)              (None, 1, 1, 1152)   221184      add_6[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 1, 1, 1152)   4608        conv2d_53[0][0]
__________________________________________________________________________________________________
activation_26 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_39[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_13 (DepthwiseC (None, 1, 1, 1152)   28800       activation_26[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 1, 1, 1152)   4608        depthwise_conv2d_13[0][0]
__________________________________________________________________________________________________
activation_27 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_40[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_13 (Gl (None, 1152)         0           activation_27[0][0]
__________________________________________________________________________________________________
reshape_13 (Reshape)            (None, 1, 1, 1152)   0           global_average_pooling2d_13[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D)              (None, 1, 1, 48)     55344       reshape_13[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D)              (None, 1, 1, 1152)   56448       conv2d_54[0][0]
__________________________________________________________________________________________________
multiply_13 (Multiply)          (None, 1, 1, 1152)   0           activation_27[0][0]
                                                                 conv2d_55[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D)              (None, 1, 1, 192)    221184      multiply_13[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 1, 1, 192)    768         conv2d_56[0][0]
__________________________________________________________________________________________________
dropout_7 (Dropout)             (None, 1, 1, 192)    0           batch_normalization_41[0][0]
__________________________________________________________________________________________________
add_7 (Add)                     (None, 1, 1, 192)    0           dropout_7[0][0]
                                                                 add_6[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D)              (None, 1, 1, 1152)   221184      add_7[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 1, 1, 1152)   4608        conv2d_57[0][0]
__________________________________________________________________________________________________
activation_28 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_42[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_14 (DepthwiseC (None, 1, 1, 1152)   28800       activation_28[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 1, 1, 1152)   4608        depthwise_conv2d_14[0][0]
__________________________________________________________________________________________________
activation_29 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_43[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_14 (Gl (None, 1152)         0           activation_29[0][0]
__________________________________________________________________________________________________
reshape_14 (Reshape)            (None, 1, 1, 1152)   0           global_average_pooling2d_14[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D)              (None, 1, 1, 48)     55344       reshape_14[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D)              (None, 1, 1, 1152)   56448       conv2d_58[0][0]
__________________________________________________________________________________________________
multiply_14 (Multiply)          (None, 1, 1, 1152)   0           activation_29[0][0]
                                                                 conv2d_59[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D)              (None, 1, 1, 192)    221184      multiply_14[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 1, 1, 192)    768         conv2d_60[0][0]
__________________________________________________________________________________________________
dropout_8 (Dropout)             (None, 1, 1, 192)    0           batch_normalization_44[0][0]
__________________________________________________________________________________________________
add_8 (Add)                     (None, 1, 1, 192)    0           dropout_8[0][0]
                                                                 add_7[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D)              (None, 1, 1, 1152)   221184      add_8[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 1, 1, 1152)   4608        conv2d_61[0][0]
__________________________________________________________________________________________________
activation_30 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_45[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_15 (DepthwiseC (None, 1, 1, 1152)   10368       activation_30[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 1, 1, 1152)   4608        depthwise_conv2d_15[0][0]
__________________________________________________________________________________________________
activation_31 (Activation)      (None, 1, 1, 1152)   0           batch_normalization_46[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_15 (Gl (None, 1152)         0           activation_31[0][0]
__________________________________________________________________________________________________
reshape_15 (Reshape)            (None, 1, 1, 1152)   0           global_average_pooling2d_15[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D)              (None, 1, 1, 48)     55344       reshape_15[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D)              (None, 1, 1, 1152)   56448       conv2d_62[0][0]
__________________________________________________________________________________________________
multiply_15 (Multiply)          (None, 1, 1, 1152)   0           activation_31[0][0]
                                                                 conv2d_63[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D)              (None, 1, 1, 320)    368640      multiply_15[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 1, 1, 320)    1280        conv2d_64[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D)              (None, 1, 1, 1280)   409600      batch_normalization_47[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 1, 1, 1280)   5120        conv2d_65[0][0]
__________________________________________________________________________________________________
activation_32 (Activation)      (None, 1, 1, 1280)   0           batch_normalization_48[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_16 (Gl (None, 1280)         0           activation_32[0][0]
__________________________________________________________________________________________________
dense (Dense)                   (None, 10)           12810       global_average_pooling2d_16[0][0]
==================================================================================================
Total params: 4,062,380
Trainable params: 4,020,364
Non-trainable params: 42,016
__________________________________________________________________________________________________