Daxin Niu daxinniu

## baseline_VGG16
def build_baseline_vgg():
    input_shape = (160, 120, 3)
    baseline_model = VGG16(weights='imagenet', include_top=False, input_shape=input_shape)
    x = baseline_model.output
    x = Flatten()(x)
    x = Dense(512, activation='relu')(x)
    x = Dropout(rate=0.25)(x)

    x = Dense(256, activation='relu')(x)
    x = Dropout(rate=0.25)(x)

## Bootstrapping_example.ipynb

      
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              November 21, 2020 21:30
            
          
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## Simulation_example.ipynb

      
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                Simulation_example
              
          
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	def build_baseline_vgg():
	input_shape = (160, 120, 3)
	baseline_model = VGG16(weights='imagenet', include_top=False, input_shape=input_shape)
	x = baseline_model.output
	x = Flatten()(x)
	x = Dense(512, activation='relu')(x)
	x = Dropout(rate=0.25)(x)

	x = Dense(256, activation='relu')(x)
	x = Dropout(rate=0.25)(x)