Model: "sequential_31"
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Layer (type)                 Output Shape              Param #
=================================================================
conv2d_40 (Conv2D)           (None, 32, 32, 16)        1200
_________________________________________________________________
inverted_residual_150 (Inver (None, 32, 32, 16)        4768
_________________________________________________________________
inverted_residual_151 (Inver (None, 32, 32, 16)        4768
_________________________________________________________________
average_pooling2d_4 (Average (None, 16, 16, 16)        0
_________________________________________________________________
inverted_residual_152 (Inver (None, 16, 16, 32)        6368
_________________________________________________________________
inverted_residual_153 (Inver (None, 16, 16, 32)        15680
_________________________________________________________________
average_pooling2d_5 (Average (None, 8, 8, 32)          0
_________________________________________________________________
inverted_residual_154 (Inver (None, 8, 8, 64)          21952
_________________________________________________________________
inverted_residual_155 (Inver (None, 8, 8, 128)         80768
_________________________________________________________________
global_average_pooling2d_11  (None, 128)               0
_________________________________________________________________
dense_25 (Dense)             (None, 100)               12900
=================================================================
Total params: 148,404
Trainable params: 143,604
Non-trainable params: 4,800
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