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 artificial neurons learns?
Why use artificial neural networks? What are its advantages?
What learning rate should be used for backprop?
What are neural networks and how do they relate to ai?
What is a Neural Network?
What are neural networks? What are the types of 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
What are the disadvantages of artificial neural networks?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
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
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
What are conjugate gradients, levenberg-marquardt, etc.?