Question 4 (3 points)
Listen
Given the following code for constructing and compiling a neural network model
using Keras:
model.add(Dense(8, input_dim=5, activation='relu'))
model.add(Dense(6, activation='relu'))
model.add(Dense(4, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='sgd', metrics=
['accuracy'])
Which of the following statements is true about this neural network model?
The number "8" in the first line represents the number of features in the input
data.
The activation function used in the output layer is 'relu'
The model uses a total of four hidden layers to process the input data.
The optimizer used in the model is 'adam'.
The model is designed for a binary classification problem
