Questions and Exercises
Test how well you have understood the concepts in this chapter by answering the following questions:
- A feedforward neural network is an architecture where:
a. Each neuron from the previous layer is connected to each neuron in the next layer.
b. There are auto and backward connections.
c. There is just one unit in the output layer.
d. There are as many input units as there are output units.
- Why do we need hidden layers in a feedforward neural network?
a. For more computational power
b. To speed up calculations
c. To implement more complex functions
d. For symmetry
- The backpropagation algorithm updates the network weights proportionally to:
a. The output errors backpropagated through the network
b. The input values forward propagated through the network
c. The batch size
d. The deltas calculated at the output layer and backpropagated through the network
- Which loss function is commonly used for a multiclass classification problem?
a. MAE
b. RMSE
c. Categorical...
