/pdiot-ml

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pdiot-ml

Model illustration

_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 lstm (LSTM)                 (None, 50, 128)           67584     
                                                                 
 dropout (Dropout)           (None, 50, 128)           0         
                                                                 
 batch_normalization (Batch  (None, 50, 128)           512       
 Normalization)                                                  
                                                                 
 lstm_1 (LSTM)               (None, 50, 128)           131584    
                                                                 
 dropout_1 (Dropout)         (None, 50, 128)           0         
                                                                 
 batch_normalization_1 (Bat  (None, 50, 128)           512       
 chNormalization)                                                
                                                                 
 lstm_2 (LSTM)               (None, 128)               131584    
                                                                 
 dropout_2 (Dropout)         (None, 128)               0         
                                                                 
 batch_normalization_2 (Bat  (None, 128)               512       
 chNormalization)                                                
                                                                 
 dense (Dense)               (None, 64)                8256      
                                                                 
 dropout_3 (Dropout)         (None, 64)                0         
                                                                 
 dense_1 (Dense)             (None, 11)                715       
                                                                 
=================================================================
Total params: 341259 (1.30 MB)
Trainable params: 340491 (1.30 MB)
Non-trainable params: 768 (3.00 KB)
_________________________________________________________________

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Clone repo

When you clone a repository that contains submodules, you need to initialize and update the submodules. You can do this with a single command:

git clone --recurse-submodules git@github.com:YangSierCode000/pdiot-ml.git