Explanation: Also known as the step function – so answer 1 is also right. It is a hard thresholding function, either on or off with no in-between. 8. Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
A. True – this works always, and these multiple perceptrons learn to classify even complex problems.
B. False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do
C. True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded
D. False – just having a single perceptron is enough
Answer:A
Explanation: Also known as the step function – so answer 1 is also right. It is a hard thresholding function, either on or off with no in-between. 8. Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
A. True – this works always, and these multiple perceptrons learn to classify even complex problems. B. False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do C. True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded D. False – just having a single perceptron is enough
Explanation: None. 9. The network that involves backward links from output to the input and hidden layers is called as ____.