Name the component of a Neural Network where the true value of the input is not observed.
Answers
Answered by
11
The component is the :
WEIGHTING FACTORS.
- A neuron normally receives inputs at the same time.
- The inputs received each has its own relative weight which gives the input the impact it needs to process elements summation function.
- Weights of a neuron are adaptive coefficients that determine, the intensity of the input signal as registered by the artificial neuron.
- It provides a measure of the inputs connection strength and thus the true value of the input is not observed in this component of the neural network.
WEIGHTING FACTORS.
- A neuron normally receives inputs at the same time.
- The inputs received each has its own relative weight which gives the input the impact it needs to process elements summation function.
- Weights of a neuron are adaptive coefficients that determine, the intensity of the input signal as registered by the artificial neuron.
- It provides a measure of the inputs connection strength and thus the true value of the input is not observed in this component of the neural network.
Answered by
1
Answer:
Correct is Hidden Layer
Explanation:
http://crackyourinterview.com/Ads-Deep-Learning-Questions-Answers.aspx
Similar questions