The name for the function in question 16 is
a) Step function
b) Heaviside function
c) Logistic function
d) Perceptron function
Why use artificial neural networks? What are its advantages?
What is a neural network and what are some advantages and disadvantages of such a network?
How are nns related to statistical methods?
Explain in detail Neural Networks?
What are the applications of a Recurrent Neural Network (RNN)?
What are combination, activation, error, and objective functions?
A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
What is artificial intelligence neural networks?
Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
How are layers counted?
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