21⟩ Neuro software is a) A software used to analyze neurons b) It is powerful and easy neural network c) Designed to aid experts in real world d) It is software used by Neuro surgeon
b) It is powerful and easy neural network
AI Neural Networks
Home Artificial intelligence (AI) AI Neural Networks
“Artificial Intelligence Neural Networks frequently Asked Questions in various AI Neural Networks job Interviews by interviewer. Get preparation of Artificial Intelligence Neural Networks job interview”
26 AI Neural Networks Questions And Answers
22⟩ 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
a) (ii) and (iii) are true
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.
23⟩ Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
a) Linear Functions
Explanation:
Neural networks are complex linear functions with many parameters.
24⟩ The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
c) Recurrent neural network
Explanation:
RNN (Recurrent neural network) topology involves backward links from output to the input and hidden layers.
25⟩ Described the Composition of ANNs?
ANNs are composed of multiple nodes, which imitate biological neurons of human brain. The neurons are connected by links and they interact with each other. The nodes can take input data and perform simple operations on the data. The result of these operations is passed to other neurons. The output at each node is called its activation or node value.
26⟩ Explain Basic Structure of ANNs?
The idea of ANNs is based on the belief that working of human brain by making the right connections, can be imitated using silicon and wires as living neurons and dendrites.
The human brain is composed of 100 billion nerve cells called neurons. They are connected to other thousand cells by Axons. Stimuli from external environment or inputs from sensory organs are accepted by dendrites. These inputs create electric impulses, which quickly travel through the neural network. A neuron can then send the message to other neuron to handle the issue or does not send it forward.
