A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.
a) True
b) False
c) Sometimes – it can also output intermediate values as well
d) Can’t say
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 the role of activation functions in a Neural Network?
How neural networks became a universal function approximators?
What is the advantage of pooling layer in convolutional neural networks?
What are the different layers in CNN?
What are neural networks and how do they relate to ai?
How artificial neurons learns?
A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
What is a neural network and what are some advantages and disadvantages of such a network?
How are layers counted?
What are the population, sample, training set, design set, validation set, and test set?
What is backprop?
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