Artificial Neural Networks and Computation

What is the ability to solve functions in a rule-based way called?

• Analytical solution

• Numerical approximation

• Graphical method

• Heuristic approach

According to the Church-Turing Thesis, what type of functions can be computed by a Turing Machine?

What do Artificial Neural Networks (ANNs) provide as an alternative model of computation?

• Parallel processing

• Sequential processing

• Symbolic computation

• Traditional programming

True or False: ANNs model neurons but abstract away from brain complexity.

• True

• False

Explain how artificial neurons determine output using activation functions.

• By using a linear function to map inputs to outputs

• By applying a threshold to sum of inputs

• By using activation functions to introduce non-linearity

• By calculating the derivative of the input values

What is the activity range of nodes in an ANN?

• 0 to 1

• -1 to 1

• 0 to 0.5

• -0.5 to 0.5

What type of connections exist between nodes in an ANN?

• Weighted connections

• Unweighted connections

• Random connections

• Sequential connections

What determines when a unit fires in an ANN?

• The activation function

• The learning rate

• The number of layers

• The type of optimizer

Which type of network has all connections pointing from input to output?

What is the input weight for a NOT Gate in logical operations with ANNs?

• -1

• 0

• 1

• 2