The code imports a saved model architecture and weights, and...

December 7, 2023 at 09:49 PM

def Import_SL_Model(params): # Create model architecture base = ResNet50V2(input_shape=(params['nelx'],params['nely'], 1), include_top=False, weights=None, pooling=max) x = Flatten()(base.output) x = Dense(1, activation='relu')(x) SPmodel = Model(inputs=base.inputs, outputs=x) # Load weights SPmodel.load_weights(params['SP_name']).expect_partial() print('Done Importing SP Model') return SPmodel

The code imports a saved model architecture and weights, and returns the imported model.

Specifically, it does the following:

  1. Creates a ResNet50V2 model architecture with specified input shape and without the top layer (fully connected layers).
  2. Flattens the output of the base model.
  3. Adds a dense layer with 1 unit and ReLU activation function.
  4. Creates a new model (SPmodel) with the same inputs as the base model and the output of the dense layer.
  5. Loads the weights of the saved model specified by the 'SP_name' parameter.
  6. Prints "Done Importing SP Model".
  7. Returns the imported SPmodel.
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