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.Parallel

Answer

tf.keras.Linear

Answer

tf.keras.Stack

Question 2

What does model.compile() configure in Keras?

Accepted Answer

Optimizer, loss function, and metrics

Answer

Layer weights and biases

Answer

Input and output shapes

Answer

Batch size and epochs

Question 3

Which Keras layer applies the ReLU activation function?

Accepted Answer

tf.keras.layers.ReLU()

Answer

tf.keras.layers.Rectify()

Answer

tf.keras.layers.Activate('relu')

Answer

tf.keras.layers.MaxOut()

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

Removes unused layers

Answer

Reduces model size

Answer

Skips layers during inference

Question 5

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

Accepted Answer

Functional API

Answer

Sequential API

Answer

Subclassing API

Answer

Pipeline API

Question 6

What does model.summary() display in Keras?

Accepted Answer

Layer names, output shapes, and parameter counts

Answer

Training accuracy history

Answer

Loss function details

Answer

Dataset statistics