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 nns related to statistical methods?
What is the advantage of pooling layer in convolutional neural networks?
How are artificial neural networks different from normal computers?
What learning rate should be used for backprop?
How neural networks became a universal function approximators?
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
What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned
How many kinds of nns exist?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
How many kinds of kohonen networks exist?
what are some advantages and disadvantages of neural network?