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
- 1 Answers
- 10099 Views
- I also Faced
- E-Mail Answers
Post New Answer View All Answers
What is backprop?
Describe the structure of artificial neural networks?
What learning rate should be used for backprop?
What are cases and variables?
How artificial neurons learns?
What are the population, sample, training set, design set, validation set, and test set?
Which is the similar operation performed by the drop-out in neural network?
How are layers counted?
What are combination, activation, error, and objective functions?
How artificial neural networks can be applied in future?
What are conjugate gradients, levenberg-marquardt, etc.?
What are the different layers in CNN?
What is Pooling in CNN and how does it work?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
What are the applications of a Recurrent Neural Network (RNN)?
