Explanation: Pattern recognition is what single layer neural networks are best at but they don’t have the ability to find the parity of a picture or to determine whether two shapes are connected or not. 9. 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
Answer:A
Explanation: Pattern recognition is what single layer neural networks are best at but they don’t have the ability to find the parity of a picture or to determine whether two shapes are connected or not. 9. 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
Explanation: All mentioned are the characteristics of neural network. 10. Neuro software is: