Getting the Model and Pre-trained Weights

We need to include models and processing packages that are specific to that model.

INSTRUCTIONS

Import image from tensorflow.keras.preprocessing.

from << your code comes here >> import << your code comes here >>

Import ResNet50 as myModel from tensorflow.keras.applications.resnet50.

from tensorflow.keras.applications.resnet50 import << your code comes here >> as << your code comes here >>

Import preprocess_input, decode_predictions from tensorflow.keras.applications.resnet50.
```
from tensorflow.keras.applications.resnet50 import << your code comes here >>
```
Now get the model model and include the weights of "imagenet" data classification task. We will be using this trained network to predict the class of our desired image.
```
model = myModel(weights="imagenet")
```

Note- If you face Unable to open file error while loading the model, refer to Input/Output Error(Error no. 5).

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