text: Model: "model_1"
  _________________________________________________________________
  Layer (type)                 Output Shape              Param #   
  =================================================================
  input_2 (InputLayer)         [(None, 512, 160, 1)]     0         
  _________________________________________________________________
  temporal_conv_relu (Conv2D)  (None, 254, 160, 16)      96        
  _________________________________________________________________
  batch_normalization_1 (Batch (None, 254, 160, 16)      64        
  _________________________________________________________________
  activation_3 (Activation)    (None, 254, 160, 16)      0         
  _________________________________________________________________
  temporal_conv (Conv2D)       (None, 242, 1, 16)        532496    
  _________________________________________________________________
  activation_4 (Activation)    (None, 242, 1, 16)        0         
  _________________________________________________________________
  average_pooling2d_1 (Average (None, 32, 1, 16)         0         
  _________________________________________________________________
  activation_5 (Activation)    (None, 32, 1, 16)         0         
  _________________________________________________________________
  flatten_1 (Flatten)          (None, 512)               0         
  _________________________________________________________________
  dropout_1 (Dropout)          (None, 512)               0         
  _________________________________________________________________
  dense_1 (Dense)              (None, 3)                 1539      
  =================================================================
  Total params: 534,195
  Trainable params: 534,163
  Non-trainable params: 32
  _________________________________________________________________
  