What is back propagation?
a) It is another name given to the curvy function in the perceptron
b) It is the transmission of error back through the network to adjust the inputs
c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
d) None of the mentioned
List some commercial practical applications of artificial neural networks?
A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123
How neural networks became a universal function approximators?
How many kinds of kohonen networks exist?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
How artificial neurons learns?
Are neural networks helpful in medicine?
An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
What are the different layers in CNN?
How are artificial neural networks different from normal computers?
Why use artificial neural networks? What are its advantages?
Who is concerned with nns?