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    • #1181
      Yash AroraYash Arora
      Keymaster

      Question 1 –
      Which ofthe following statements is correct?

      Answer :
      Keras is a high-level API that facilitates fast development and quick prototyping of deep learning models.

      Question 2 –
      Both TensorFlow and PyTorch are high level APIs for building deep learning models. They provide limited control over the different nodes and layers in a network. If you are seeking more control over a network, then Keras is the right library.

      Answer :
      False

      Question 3 –
      There are three model classes in the Keras library, the Sequential model, the Dense model, and the Model class used with the functional API.

      Answer :
      False

      Question 4 –
      Which of the following codes creates the followig neural network using the Keras library?
      Question 4

      Answer :

      model = Sequential()
      model.add(Dense(8, activation='relu', input_shape=(4,)))
      model.add(Dense(5, activation='relu'))
      model.add(Dense(5, activation='relu'))
      model.add(Dense(1))

      Question 5 –
      If a model can be saved using the Keras library, which of following methods is the correct method to do so?

      Answer –
      model.save()

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