There are some pre-trained models in Keras as follows:

• MobileNetV2: This model can be trained using ImageNet. The syntax if this model is as shown below:

​​​​​​​keras.applications.mobilenet_v2.MobileNetV2 (
   alpha = 1.0, 
   input_shape = None, 
   include_top = True, 
   input_tensor = None, 
   pooling = None, 
   weights = 'imagenet', 
   classes = 800
)

VGG16: This model is also trained using ImageNet and the syntax is shown below:

keras.applications.inception_v3.InceptionV3 (
   include_top = True, 
   pooling = None, 
   classes = 2000
   weights = 'imagenet', 
   input_tensor = None, 
   input_shape = None, 
)

• InceptionV3:The syntax for this model is given below:

keras.applications.inception_v3.InceptionV3 (
   include_top = True, 
   pooling = None, 
   classes = 2000
   weights = 'imagenet', 
   input_tensor = None, 
   input_shape = None, 
)

• InceptionResNetV2: This model can be loaded using the syntax below:

keras.applications.inception_resnet_v2.InceptionResNetV2 (
   include_top = True, 
   input_tensor = None, 
   input_shape = None, 
   weights = 'imagenet',
   pooling = None, 
   classes = 2000
)