Model: "image_example1"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 conv2d (Conv2D)             (None, 48, 48, 24)        240       
                                                                 
 average_pooling2d (AverageP  (None, 24, 24, 24)       0         
 ooling2D)                                                       
                                                                 
 conv2d_1 (Conv2D)           (None, 11, 11, 16)        3472      
                                                                 
 conv2d_2 (Conv2D)           (None, 9, 9, 24)          3480      
                                                                 
 batch_normalization (BatchN  (None, 9, 9, 24)         96        
 ormalization)                                                   
                                                                 
 activation (Activation)     (None, 9, 9, 24)          0         
                                                                 
 average_pooling2d_1 (Averag  (None, 4, 4, 24)         0         
 ePooling2D)                                                     
                                                                 
 flatten (Flatten)           (None, 384)               0         
                                                                 
 dense (Dense)               (None, 3)                 1155      
                                                                 
 activation_1 (Activation)   (None, 3)                 0         
                                                                 
=================================================================
Total params: 8,443
Trainable params: 8,395
Non-trainable params: 48
_________________________________________________________________

Total MACs: 1.197 M
Total OPs: 2.528 M
Name: image_example1
Version: 1
Description: Image classifier example for detecting Rock/Paper/Scissors hand gestures in images
Classes: rock, paper, scissor
hash: 
date: 
runtime_memory_size: 0