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
Why use artificial neural networks? What are its advantages?
What are the population, sample, training set, design set, validation set, and test set?
Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
What are the applications of a Recurrent Neural Network (RNN)?
How neural networks became a universal function approximators?
How many kinds of nns exist?
How human brain works?
What are cases and variables?
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
What is Pooling in CNN and how does it work?
What is the role of activation functions in a Neural Network?
How many kinds of kohonen networks exist?
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