Model: "model"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 input_1 (InputLayer)        [(None, 256, 2)]          0         
                                                                 
 conv1d (Conv1D)             (None, 225, 128)          8320      
                                                                 
 conv1d_1 (Conv1D)           (None, 210, 32)           65568     
                                                                 
 max_pooling1d (MaxPooling1D  (None, 105, 32)          0         
 )                                                               
                                                                 
 conv1d_2 (Conv1D)           (None, 98, 32)            8224      
                                                                 
 max_pooling1d_1 (MaxPooling  (None, 49, 32)           0         
 1D)                                                             
                                                                 
 batch_normalization (BatchN  (None, 49, 32)           128       
 ormalization)                                                   
                                                                 
 conv1d_3 (Conv1D)           (None, 21, 16)            4112      
                                                                 
 max_pooling1d_2 (MaxPooling  (None, 10, 16)           0         
 1D)                                                             
                                                                 
 flatten (Flatten)           (None, 160)               0         
                                                                 
 dense (Dense)               (None, 4096)              659456    
                                                                 
 dense_1 (Dense)             (None, 2048)              8390656   
                                                                 
 dense_2 (Dense)             (None, 1024)              2098176   
                                                                 
 dense_3 (Dense)             (None, 248)               254200    
                                                                 
=================================================================
Total params: 11,488,840
Trainable params: 11,488,776
Non-trainable params: 64
_________________________________________________________________
Model: "model_1"
__________________________________________________________________________________________________
 Layer (type)                   Output Shape         Param #     Connected to                     
==================================================================================================
 input_1 (InputLayer)           [(None, 256, 2)]     0           []                               
                                                                                                  
 conv1d (Conv1D)                (None, 225, 128)     8320        ['input_1[0][0]']                
                                                                                                  
 conv1d_1 (Conv1D)              (None, 210, 32)      65568       ['conv1d[0][0]']                 
                                                                                                  
 max_pooling1d (MaxPooling1D)   (None, 105, 32)      0           ['conv1d_1[0][0]']               
                                                                                                  
 conv1d_2 (Conv1D)              (None, 98, 32)       8224        ['max_pooling1d[0][0]']          
                                                                                                  
 max_pooling1d_1 (MaxPooling1D)  (None, 49, 32)      0           ['conv1d_2[0][0]']               
                                                                                                  
 batch_normalization (BatchNorm  (None, 49, 32)      128         ['max_pooling1d_1[0][0]']        
 alization)                                                                                       
                                                                                                  
 conv1d_3 (Conv1D)              (None, 21, 16)       4112        ['batch_normalization[0][0]']    
                                                                                                  
 max_pooling1d_2 (MaxPooling1D)  (None, 10, 16)      0           ['conv1d_3[0][0]']               
                                                                                                  
 input_2 (InputLayer)           [(None, 15)]         0           []                               
                                                                                                  
 flatten (Flatten)              (None, 160)          0           ['max_pooling1d_2[0][0]']        
                                                                                                  
 flatten_1 (Flatten)            (None, 15)           0           ['input_2[0][0]']                
                                                                                                  
 concatenate (Concatenate)      (None, 175)          0           ['flatten[0][0]',                
                                                                  'flatten_1[0][0]']              
                                                                                                  
 dense_4 (Dense)                (None, 4096)         720896      ['concatenate[0][0]']            
                                                                                                  
 dense_5 (Dense)                (None, 2048)         8390656     ['dense_4[0][0]']                
                                                                                                  
 dense_6 (Dense)                (None, 1024)         2098176     ['dense_5[0][0]']                
                                                                                                  
 dense_7 (Dense)                (None, 30)           30750       ['dense_6[0][0]']                
                                                                                                  
==================================================================================================
Total params: 11,326,830
Trainable params: 11,326,766
Non-trainable params: 64
__________________________________________________________________________________________________
Model: "model_2"
__________________________________________________________________________________________________
 Layer (type)                   Output Shape         Param #     Connected to                     
==================================================================================================
 input_1 (InputLayer)           [(None, 256, 2)]     0           []                               
                                                                                                  
 conv1d (Conv1D)                (None, 225, 128)     8320        ['input_1[0][0]']                
                                                                                                  
 conv1d_1 (Conv1D)              (None, 210, 32)      65568       ['conv1d[0][0]']                 
                                                                                                  
 max_pooling1d (MaxPooling1D)   (None, 105, 32)      0           ['conv1d_1[0][0]']               
                                                                                                  
 conv1d_2 (Conv1D)              (None, 98, 32)       8224        ['max_pooling1d[0][0]']          
                                                                                                  
 max_pooling1d_1 (MaxPooling1D)  (None, 49, 32)      0           ['conv1d_2[0][0]']               
                                                                                                  
 batch_normalization (BatchNorm  (None, 49, 32)      128         ['max_pooling1d_1[0][0]']        
 alization)                                                                                       
                                                                                                  
 conv1d_3 (Conv1D)              (None, 21, 16)       4112        ['batch_normalization[0][0]']    
                                                                                                  
 max_pooling1d_2 (MaxPooling1D)  (None, 10, 16)      0           ['conv1d_3[0][0]']               
                                                                                                  
 input_3 (InputLayer)           [(None, 15)]         0           []                               
                                                                                                  
 flatten (Flatten)              (None, 160)          0           ['max_pooling1d_2[0][0]']        
                                                                                                  
 flatten_2 (Flatten)            (None, 15)           0           ['input_3[0][0]']                
                                                                                                  
 concatenate_1 (Concatenate)    (None, 175)          0           ['flatten[0][0]',                
                                                                  'flatten_2[0][0]']              
                                                                                                  
 dense_8 (Dense)                (None, 4096)         720896      ['concatenate_1[0][0]']          
                                                                                                  
 dense_9 (Dense)                (None, 2048)         8390656     ['dense_8[0][0]']                
                                                                                                  
 dense_10 (Dense)               (None, 1024)         2098176     ['dense_9[0][0]']                
                                                                                                  
 dense_11 (Dense)               (None, 9)            9225        ['dense_10[0][0]']               
                                                                                                  
 dense_13 (Dense)               (None, 8)            8200        ['dense_10[0][0]']               
                                                                                                  
 dense_15 (Dense)               (None, 3)            3075        ['dense_10[0][0]']               
                                                                                                  
 dense_12 (Dense)               (None, 9)            9225        ['dense_10[0][0]']               
                                                                                                  
 dense_14 (Dense)               (None, 4)            4100        ['dense_10[0][0]']               
                                                                                                  
 dense_16 (Dense)               (None, 1)            1025        ['dense_10[0][0]']               
                                                                                                  
 concatenate_2 (Concatenate)    (None, 34)           0           ['dense_11[0][0]',               
                                                                  'dense_13[0][0]',               
                                                                  'dense_15[0][0]',               
                                                                  'dense_12[0][0]',               
                                                                  'dense_14[0][0]',               
                                                                  'dense_16[0][0]']               
                                                                                                  
==================================================================================================
Total params: 11,330,930
Trainable params: 11,330,866
Non-trainable params: 64
__________________________________________________________________________________________________