TensorFlow Keras Model Building

Question 1

Which Keras class is used to build a model layer-by-layer?

Accepted Answer

tf.keras.Sequential

Answer

tf.keras.Sequential groups a linear stack of layers where each layer has exactly one input and one output tensor.

Question 2

What does model.compile() configure in Keras?

Accepted Answer

Optimizer, loss function, and metrics

Answer

model.compile() sets the training configuration including the optimizer, loss function, and evaluation metrics.

Question 3

Which Keras layer applies the ReLU activation function?

Accepted Answer

tf.keras.layers.ReLU()

Answer

tf.keras.layers.ReLU() is a dedicated layer that applies the Rectified Linear Unit activation.

Question 4

What is the purpose of the Dropout layer in Keras?

Accepted Answer

Randomly sets input units to 0 during training to prevent overfitting

Answer

Dropout randomly zeroes out a fraction of neurons during each training step as a regularization technique.

Question 5

Which Keras API allows building models with multiple inputs and outputs?

Accepted Answer

Functional API

Answer

The Keras Functional API enables creation of DAG-style models with multiple inputs, outputs, and shared layers.

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