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What learning rate should be used for backprop?
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Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
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
How are layers counted?
What can you do with an nn and what not?
What is the advantage of pooling layer in convolutional neural networks?
What is simple artificial neuron?
What are cases and variables?
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
How are weights initialized in a network?
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
How does an LSTM network work?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
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