How artificial neural networks can be applied in future?
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What are neural networks and how do they relate to ai?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
How are nns related to statistical methods?
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
Explain neural networks?
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001
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
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
Which is the similar operation performed by the drop-out in neural network?
what are some advantages and disadvantages of neural network?
What learning rate should be used for backprop?
Who is concerned with nns?
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