Fix LSTM32 2conv model

keras/models/figs/lstm32_2conv3_2dense_shared_summary.txt

+__________________________________________________________________________________________________
+Layer (type)                    Output Shape         Param #     Connected to                     
+==================================================================================================
+protein1 (InputLayer)           (None, None, 20)     0                                            
+__________________________________________________________________________________________________
+protein2 (InputLayer)           (None, None, 20)     0                                            
+__________________________________________________________________________________________________
+conv1d_1 (Conv1D)               (None, None, 5)      2005        protein1[0][0]                   
+                                                                 protein2[0][0]                   
+__________________________________________________________________________________________________
+max_pooling1d_1 (MaxPooling1D)  (None, None, 5)      0           conv1d_1[0][0]                   
+                                                                 conv1d_1[1][0]                   
+__________________________________________________________________________________________________
+batch_normalization_1 (BatchNor (None, None, 5)      20          max_pooling1d_1[0][0]            
+                                                                 max_pooling1d_1[1][0]            
+__________________________________________________________________________________________________
+conv1d_2 (Conv1D)               (None, None, 5)      505         batch_normalization_1[0][0]      
+                                                                 batch_normalization_1[1][0]      
+__________________________________________________________________________________________________
+max_pooling1d_2 (MaxPooling1D)  (None, None, 5)      0           conv1d_2[0][0]                   
+                                                                 conv1d_2[1][0]                   
+__________________________________________________________________________________________________
+batch_normalization_2 (BatchNor (None, None, 5)      20          max_pooling1d_2[0][0]            
+                                                                 max_pooling1d_2[1][0]            
+__________________________________________________________________________________________________
+lstm_1 (LSTM)                   (None, 32)           4864        batch_normalization_2[0][0]      
+                                                                 batch_normalization_2[1][0]      
+__________________________________________________________________________________________________
+concatenate_1 (Concatenate)     (None, 64)           0           lstm_1[0][0]                     
+                                                                 lstm_1[1][0]                     
+__________________________________________________________________________________________________
+dense_1 (Dense)                 (None, 25)           1625        concatenate_1[0][0]              
+__________________________________________________________________________________________________
+batch_normalization_3 (BatchNor (None, 25)           100         dense_1[0][0]                    
+__________________________________________________________________________________________________
+dense_2 (Dense)                 (None, 1)            26          batch_normalization_3[0][0]      
+__________________________________________________________________________________________________
+activation_1 (Activation)       (None, 1)            0           dense_2[0][0]                    
+==================================================================================================
+Total params: 9,165
+Trainable params: 9,095
+Non-trainable params: 70
+__________________________________________________________________________________________________